Skillset – Azure Stack, Python, SQL (SSMS), APIs, UI/UX, Talend, PowerBI, Tableau, Advance Excel, SSISProduct Management, Agile Delivery, Full Stack Products, Data Science Product Development🔘 Current leading delivery of Web based full stack data product that consumes different claims file formats and enriches it after standardization. Developed product will entail benefits/savings of over $700k annually identified across 6 kaizens.🔘 Working as Product Owner for multiple products responsible for planning & designating project resources, preparing budgets, project scoping, monitoring progress, ensuring risks are mitigated, keeping stakeholders informed the entire way and ensuring team remains motivated throughout🔘 Lead a team of 4 data scientists to successfully deliver a high-end automation engine which eliminates manual, repetitive efforts of 90+ pharmacy technicians working for over 150 high revenue clients; the solution generates an incremental revenue impact of $51M🔘 Successfully delivered organisation level analytical solution to solve CAG mapping & alignment problem by developing semi-automated models; helping organisation realise an immediate revenue impact of $5M with long term impact reaching upto $100M🔘 Successfully delivered, managed, mentored analysis work facilitating transition of data from Pricing Document Form to on-premise databases 🔘 Carried out Cost Benefit Analysis (CBA) & Assessments for various potential project solutions that have a potential revenue impact of over $100M🔘 Assisted leadership with pitching and presentation for RFIs & RFPs to win various data science & data engineering projects🔘 Assisted senior management in overall team expansion by helping interview the right talent for various current & upcoming projects

Operational Risk - Data AnalyticsTechnologies - SQL (SSMS), Tableau, Advance EXCEL, R, SSIS, Alteryx🔘 Worked with the Business Analytics team to build quantitative models for Risk Analytics & Assurance services, the scope included data preparation, data profiling, building advance visualisations, descriptive analysis, documentation, and presenting to the business audience, the practical implications of the results.🔘 Used Computer Assisted Audit Techniques to improve the audit functions efficiency and participate in the processes to automate data solutions🔘 Analysed data to answer audit team hypothesis, business challenges especially value creation risks and opportunities, and strategic questions.🔘 Provided preliminary data analysis reports, extracts, or searchable records for Audit Leads, reconciliations, stakeholders, or management.

🔘 Evaluating demand forecast data from existing machine learning approach and comparing it with manual and actual demand forecast to discover gaps, thereby identifying the potential areas for improvisation to enable efficient forecast across EMEA region. 🔘 Establishing/improvising new/existing machine learning approach for demand forecast across Microsoft Surface and Xbox products.🔘 Researching latest happening across technology industry to enable cross-learnings for better utilisation of technologies to enhance agility to deliver to customers.

🔘 Elected unanimously by a multinational class of 28. 🔘 Responsible for academic, career, and social orientation of the MSc SCM 2018-2019 class.

🔘 Worked on an Africa Based Telecom Giant✓ Developed multi-dimensional customer segmentation basis usage and demographics, to correctly analyse the population for personalised actions using K-Means clustering✓ Developed high-end analytical models using machine learning techniques for smartphone penetration and data push for different segments of customers to improve business and customer engagement. The models were able to help the marketing team, devise appropriate strategies that resulted in higher data usage of ~0.8Gbper customer and increased overall revenue by ~0.35bn Naira.Technologies used - Big Data, Hive, KNIME, SQL Developer, SparkR, PowerBI etc.🔘 Internal Responsibilities✓ Played an instrumental role in the proposals team by catering to RFIs & RFPs for different clients.✓ Trained and mentored new joiners on various technologies.✓ In-Charge for team bonding events to enhance team spirit.

🔘 AbsolutSherlock (Product) - Delivery Innovation Platform✓ Developed a product which caters to micro-segmentation and churn prediction using high-end technologies, like, KNIME, R, and SQL, bringing in statistics and machine learning on a single platform, for standardised and efficient analytics for the telecom domain.🔘 Growth analysis model for a fast-growing Salon Company in India✓ Developed an overall growth analysis model for this Client across its range of salons in India using SAS platform. As well as created performance scorecard dashboards for its employees using Advanced Excel.🔘 Internal Responsibilities✓ Played an instrumental role in the proposals team by catering to RFIs & RFPs for different clients.✓ Trained and mentored new joiners on various technologies.✓ In-Charge for team bonding events to enhance team spirit.

🔘 Government of Saudi Arabia - Real Estate Sector (4 months onsite project - Riyadh, Saudi Arabia)✓ Developed a Decision Engineering Platform for Govt. of Saudi Arabia, to address the allocation problem of housing products to the citizens of Saudi Arabia by analysing the demand vis-à-vis supply. The platform was successful in reducing the rejection rate by ~65% and thereby incurred expenditure. Technologies used - SSMS (T-SQL), PowerBI Advanced Excel

🔘 Elected by college Dean and BVP ISTE mentor. 🔘 Responsible for an executive committee of 40 and a college society of over 400 student members.Responsibilities include:🔘 Organising technical workshops and events for students to enhance their knowledge and learn new technologies🔘 Organising events to bridge gap between seniors and juniors🔘 Organising a national technical festival with a footfall of over 2000 students across India🔘 Mentoring executive committee to grow professionally and personally by conduction talks

Summer intern at Technical University of Sofia, Bulgaria. Worked in the Faculty of Telecommunication.Successfully completed the following projects:🔘 Driver fatigue warning and monitoring system using eye tracking.🔘 State of the art pain recognition using facial features.