Rakesh Sharma Email and Phone Number
Toronto, ON, CA
Rakesh Sharma's Location
Dubai, Dubai, United Arab Emirates, United Arab Emirates
Rakesh Sharma's Contact Details
Rakesh Sharma work email
- Valid
Rakesh Sharma personal email
n/a
About Rakesh Sharma
I am a Manager of Data Science at Du, a leading telecommunications company in the UAE, where I lead a team of data scientists and machine learning engineers who create value-driven solutions for diverse business problems. With over 16 years of experience in software engineering, machine learning, and data science, I have developed and deployed cutting-edge models and algorithms that have generated significant revenue, cost savings, and customer retention for Du and its clients.In addition to my technical skills, I have strong business acumen and a keen interest in venture capital and entrepreneurship. I was a Venture Partner at Transform VC, a dynamic venture capital firm that supports underdog founders with a long-term vision, especially in challenging or nascent markets. I worked in LP relations and deal flow, building a steady funnel for fundraising for GPs with an opportunity value of $10 million within 10 months. I was also a Venture Investor at VU Venture Partners, where I evaluated and invested in early-stage startups focusing on AI and network effects. I have a Master of Science in Financial Engineering from WorldQuant University, a Master of Business Administration in Organizational Leadership from Jack Welch Management Institute, and a certificate in Artificial Intelligence - Implications for Business Strategy from MIT Sloan School of Management. I am also a Welch Scholar and also served as the secretary to SAAB at Jack Welch Management Institute. I am passionate about learning, writing, speaking about technology, analytics, and business topics, and sharing my insights and perspectives with others. I have published an article on LinkedIn and @medium about ML techniques, and I have multiple certifications in Data Science, Technology, and Venture Capital. I am also committed to fostering a data-driven culture in organizations and nurturing the skills and talents of my team members, whom I mentor and coach with a hands-on management style. My ultimate goal is to leverage my domain expertise, technical skills, and business acumen to positively impact the world.
Rakesh Sharma's Current Company Details
Bayshore Healthcare
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Consultant Data Scientist
Toronto, ON, CA
- Website:
- bayshore.ca
- Employees:
- 5387
Rakesh Sharma Work Experience Details
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Consultant Data ScientistBayshore HealthcareToronto, On, Ca
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Venture PartnerTransform Vc May 2023 - PresentSan Francisco, Ca, UsTransform VC is a dynamic Venture Capital supporting the underdog founders. Their mission is to invest in, nurture, and scale the growth of sustainable businesses with 10x network effects and differentiation. I worked in LP relations and Dealflow building a steady funnel for fundraising for GPs with an opportunity value of $10 million within 10 months.In this role, I mastered fundraising fundamentals, regulations, and strategies explored diverse fundraising platforms, crafted winning investor-side checklists applied to various fund-raising events, and built relationships with institutional and individual LPs.Through continuous research, I stayed ahead of venture capital trends gained insights from industry experts, and stayed informed about investment strategies to outshine competitors.I lead deal flow from sourcing to closure, specializing in Deeptech and AI with social and climate impact. I applied due diligence in investment decisions and developed meticulous checklists for seamless evaluation meeting Transform.VC portfolio strategy and requirements. -
Angel Squad MemberHustle Fund Apr 2024 - PresentSan Francisco, California, Us -
Manager Data ScienceDu Sep 2019 - PresentDubai , AeAs a Manager in Data Science and Machine Learning, I have spearheaded the development of cutting-edge models and algorithms to drive business value for Du, a leading telecommunications company in the UAE. The total value of cost savings potential for Du is AED 1 billion for 5 years. Leveraging Gaussian Mixture Models, we have been able to segment customers based on their usage patterns, enabling targeted packages and plan differentiation bringing down the campaign management time to 5 days from 2 months and bringing a lift of 22% in customer acquisition.As part of our efforts to improve customer retention, we have developed churn prediction models for enterprise customers and have used GradientBoosting method-based ensembling techniques to mitigate churn and maintain our revenue base. The deployment of these models has brought down the annual churn by 30%. We have used advanced analytics methods such as PCA, multi-factor analysis, and Association rules to understand the key drivers and unearth latent factors for churn for Enterprise customers bringing an increase of 3% in customer base annually compared to our competitor in the market. It has streamlined strategic marketing expenses for Du through the development of propensity-churn models for commercial teams.Furthermore, we have deployed models for topic modeling using LDA to determine their persona for marketing campaigns increasing the marketing ROI by 6%. We have enhanced these models with modern LLM stacks such as BERT to increase the accuracy of classification.Our feature engineering efforts improved the big data platform of Du by enabling fast data processing capabilities, meeting the demands of Du operations using PySpark, and cutting down the duration of the daily run ETL jobs by reducing the processing time by 40%.Our Geospatial tech stack along with spatial inference models developed raised additional revenue potential for AED 2 million a year. -
Venture InvestorVu Venture Partners Jan 2023 - Apr 2023San Francisco, California, Us -
Venture InvestorVu Venture Partners Jan 2023 - Mar 2023San Francisco, California, UsA multi-stage investment fund focused on Consumer, Enterprise, Fintech, Frontier, Healthcare, and PropTech▪ Sourced investment opportunities using a structured approach to increase deal flow velocity in both quantity and quality by doing weekly sprints using multiple deal flow channels▪ Developed investment theses around various industry verticals, reviewed pitch decks, met with startups and investors and presented top investment opportunities at weekly Partners Meetings and Investment Committees▪ Worked closely with the General Partners with 45+ years of VC experience and invested in 10+ unicorns such as Beyond Meat, Uber, Facebook, Twitter, Wish, Oculus, Oscar, etc.▪ Conducted quantitative and qualitative deep due diligence, including:− Market sizing, team’s ability to execute, go-to-market strategy, key risks, business model, key metrics, financial modeling, competitive landscape, customer and investor interviews, cap table and a waterfall analysis, term sheets, and investment documents▪ Built a large network across accelerators, VC / PE funds, strategies, and startup founders, and have access to VU's investor and strategic network
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Data ScientistBahri | البحري Jul 2017 - Sep 2019Riyadh, Central, SaAs a key member of the Data Science team in Dubai, I was handpicked by a Silicon Valley tech leader to lead the transformation of the largest crude carrier in the Middle East and worked directly under the President's office. Our goal was to leverage cutting-edge technologies and data-driven insights to optimize shipping operations and drive cost savings of SAR 2 billion. Data science and analytics brought cost optimization and differentiation to Bahri's operations. I spearheaded the development and delivery of machine learning models for the Bahri shipping management, enabling them to meet their voyage economy cost savings KPIs for shipping operation teams through our internal analytical platform developed within six months. I used R, python, dash, scikit learn, scipy, numpy, Azure Data Factory, MySQL, Machine Learning, and advanced analytics techniques in various projects. Key metrics were Fuel Savings in Metric Tonnes, Idle time, Churn Rate, Time to Insight, Time to Scoring, and SLA for 99% availability for Dashboards.Prediction Model for Fuel Consumption: I developed prediction models for fuel consumption using linear regression and neural networks so that the voyage management team could analyze the vessel's performance and meet the fuel savings target. Vessel Comparison: I introduced advanced analytics methods, such as cosine distance similarity and hypothesis testing, to benchmark vessel categories for acquiring new vessels and identifying docking schedules.Crew churn Prediction: I developed classification models for identifying crew performance and frequent churn. These models helped us identify the best crews for each ship, improving overall performance and reducing operational costs and crew rotation by 4%.I consulted for the OSPAS division of our client, Saudi Aramco, on algorithm development. This algorithm uses constraint modeling and minimizes ship idle times by 10%, presenting opportunities to reduce the number of vessels in operation. -
Senior Big Data AnalystUst Global Apr 2016 - Jun 2017Aliso Viejo, Ca, UsI worked as a consultant for Advance Analytics Boots UK using technologies Apache PySpark and Hive in fine-tuning data pipelines for large analytical queries. As an individual contributor building feature pipelines, I worked with Data Architects and Data Engineers in building and launching new data models that provided intuitive analytics to design, product, and executives based on business processes and requirements, taking Boots UK closer to analytical-driven customer relationships.By using the Big Data platform Cloudera and its tools such as Pig, Hive, and Spark I was able to provide critical business insights that helped drive growth, optimize operations, and improve customer satisfaction by maintaining 95% availability of Analytical Dashboard for Boots Business.As part of employee retention analytics, I developed logistic regression algorithms using R language in modeling employee churn for Boot's Pharma while also identifying the key drivers for employee churn predicting 3% of employee churnProduct matching for Boot's skin care was achieved using recommendation algorithms using customer browsing data and advanced segmentation techniques improving the lift of email marketing by 6%.Designed and executed A/B tests to measure the impact of strategic initiatives and marketing campaigns, providing actionable recommendations for optimization to the Boots UX team bringing down the test-response cycle by 2 months.Overall, my approach to data is centered around innovation, collaboration, and a deep understanding of cutting-edge technologies. By building data models, streamlining migration processes, and providing critical business insights, I have been able to drive significant business value and transform operations for Boots UK. -
Lead Consultant - Big Data AnalyticsItc Infotech Apr 2015 - Apr 2016Bangalore, Karnataka, InAs a big data consultant, I worked under a high-performance team to achieve faster insights for our client's analytics team, IMS Health. I developed resilient data pipelines in Apache Spark for feature engineering, data imputation, and descriptive metrics, enabling faster updates. My Data Pipelines reduced data processing time from 4-5 hours to 20 minutes within the second release of the jobs to the pre-prod environment. Critical metrics were Time to Process Data, High Availability of Dashboard, last updated of Insights < 4 hoursI also introduced the Scala programming language to the development team, allowing us to develop more efficient and scalable solutions by mentoring Java engineers to migrate from Java-based Apache Spark code to Scala-based code. This enabled us to create more complex functions within the Databricks solution of Apache Spark within 8 months of joining the team. Critical metrics for this project were Time to Insight, Data Processing time, and Time to Development (SQL Scripts).I consulted on other projects on building an analytics roadmap, creating 3 POVs using the BigData ecosystem, tools, and Data Science models for clients in the Middle East and the UK within 7 months.Languages used were Hive, Pig Script, Java, Scala, Groovy, and Python. -
Senior Software Engineer - Devops | Ci-Cd | Virtualization | Infrastructure AutomationQuest Global Jan 2012 - Apr 2015Trivandrum, Kerala, InAs a Software Engineer and DevOps Solutions Lead, I'm proud to have been at the forefront of innovation in the industry, leading the development and implementation of cutting-edge technologies and automation frameworks that have transformed how we work.In my role, I played a crucial role in developing and innovating testing and building code using CI/CD platforms like Hudson and Jenkins years before the term DevOps became a household name. Through my expertise, we optimized our development processes, leading to faster time to market and higher-quality software, increasing the test coverage by 400%. One of my proudest achievements was leading the integrated, award-winning OpenCV-based framework for automating tasks based on computer vision. This framework was adopted across various verticals in the organization, automating many user interfaces and GUI dashboards for process controls and device testing, reducing the manual testing effort by 80%In addition, I also developed and demonstrated an OCR-based framework using Google's Tesseract to drive image recognition and text extraction for GUI-based machine interfaces, which provided a pseudo-automation of complex medical device systems.My ability to identify and develop DevOps strategies for automated testing of GUIs for various versions of OSs in parallel helped improve software quality and accelerate our development cycles, improving automation coverage by 400%. The key metrics were Time to Automate, Test Coverage, internationalization coverage, and Time to Deployment.I have published award-winning papers on automation frameworks for clients like Schneider at the STC conference in Bangalore. I've also developed a middleware framework for XML serialization for XML DB—BaseX in Java, which enabled code conversion from .NET to Java. I also created a query DSL in Java for developers to query large XML files. Languages worked on include Java, Python, Perl, VBScript, Excel Macros, Powershell, and xml-xslt. -
Senior Software EngineerUst Global Jan 2010 - Jun 2011Aliso Viejo, Ca, UsLed a team of test automation engineers in the development and design of cutting-edge test automation frameworks that streamline the software testing process and optimize efficiency by ensuring 95% bug-free product release cycles.Utilize my expertise in unit-testing Java modules to ensure comprehensive testing coverage and identify defects in the software system at an early stage. Developed stored procedures and Analytical queries to test data quality and functional usage covering 80% of feature releases within sprint cycles.Collaborate with cross-functional teams to develop and prioritize user stories in Agile sprints, ensuring timely and budget-friendly delivery of software solutions.Drove continuous improvement initiatives to enhance the quality of test automation processes, methodologies, and tools, staying abreast of industry best practices.Fostered a culture of collaboration, effective communication, and strong project management within the team, ensuring alignment with organizational goals and objectives.Built and maintained strong relationships with clients and stakeholders, providing regular updates on testing progress and addressing any concerns or issues proactively.
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Senior Software EngineerInfosys Aug 2006 - Dec 2009Bangalore, Karnataka, InI have consistently distinguished myself as a top performer throughout my career. In my early days at Infosys, I was thrilled to be recognized as the Batch Topper of the Product Engineering Stream, placing in the top 5% of my class of 98.Early on, I recognized the power of automation in streamlining processes and reducing waste. As an automation-first engineer, I was instrumental in identifying manual tests, tasks, and subtasks to be automated. This approach was particularly effective on Project Pluto for Microsoft, where I led the development and design of automation scripts for testing OS patches and slipstreams of various Windows versions. I wrote whitebox tests in Windows batch scripts, C language, and VBScript and automated test cases for .dlls, last know good binaries (LKG) using API calls, resulting in a 30% reduction in manual test hours. I have applied the principles I learned in the following projects of my career to reduce manual efforts and toil. Key success metrics were time to test, time to release, test coverage, and kilo lines of code (KLOC).I was a blogger and took on the role of Content Writer to revamp Pluto's official customer website. This experience allowed me to hone my communication and writing skills, give me high visibility within the delivery team, and provide valuable insights into the customer experience. Automation principles are essential for making any business process faster, better, and cheaper and are the pillar of Operational Excellence.
Rakesh Sharma Skills
Java
J2ee Web Services
Struts
Spring Framework
Hibernate
Jsp
Json
Servlets
Python
Perl Automation
Php
Ruby
Powershell
Javascript
Angularjs
Rakesh Sharma Education Details
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Mit Sloan School Of ManagementOrganizational Leadership -
Jack Welch Management InstituteOrganizational Leadership
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Worldquant UniversityFinancial Engineering
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Indian Institute Of Management, CalcuttaGeneral
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UdacityNatural Language Processing/ Deep Learning/ Machine Learning
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Kendriya VidyalayaPhysical Sciences
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Kendriya Vidyalaya
Frequently Asked Questions about Rakesh Sharma
What company does Rakesh Sharma work for?
Rakesh Sharma works for Bayshore Healthcare
What is Rakesh Sharma's role at the current company?
Rakesh Sharma's current role is Consultant Data Scientist.
What is Rakesh Sharma's email address?
Rakesh Sharma's email address is ra****@****bal.com
What schools did Rakesh Sharma attend?
Rakesh Sharma attended Mit Sloan School Of Management, Jack Welch Management Institute, Worldquant University, Indian Institute Of Management, Calcutta, Udacity, Kendriya Vidyalaya, Kendriya Vidyalaya.
What are some of Rakesh Sharma's interests?
Rakesh Sharma has interest in Automation, Testing Consultancy, Training, Scripting Languages.
What skills is Rakesh Sharma known for?
Rakesh Sharma has skills like Java, J2ee Web Services, Struts, Spring Framework, Hibernate, Jsp, Json, Servlets, Python, Perl Automation, Php, Ruby.
Who are Rakesh Sharma's colleagues?
Rakesh Sharma's colleagues are Amanda Ferrari, Salma Alrooq, Roseline Wisseh-Lequy, Rhoze Ann Belmonte, Haniya Adnan, Ankur Bhalla, Arshdeep Kooner.
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