Siddharth Singh Email & Phone Number

New York, New York, United States

• Developed a recommendation engine to predict relevant financial products for clients leveraging collaborative filtering and content-based approaches, which helped the effectiveness of sales and marketing engagement• Implemented a classification model to predict client’s segmentation to help sales and marketing teams optimize their client engagement strategy• Implemented a lead generation model leveraging clustering algorithms on financial market investment data to identify clusters with top clients and generate new leads• Implemented a document classification model using Naïve Bayes algorithm to identify if the firm has any legal obligation in the contract, which significantly reduced legal team’s manual effort• Designed interactive dashboards leveraging Tableau, Python and Hadoop to better understand the business and identify growth opportunities, thereby facilitating strategic business decisions• Architected a business intelligence platform where key stakeholders can analyze in-house and 3rd party financial data using Tableau and Jupyter Notebook to generate insights and improve sales effectiveness• Leading the transition from on-premise technology infrastructure to Microsoft Azure and Snowflake for data and analytics

New York, New York, United States

• Implemented a classification model using SVM to predict student’s progress to the next level, leveraging data from coding sessions including actions, behaviors, time-on-task, errors, and outcomes, which helped optimize student’s learning journey• Architected an analytics platform leveraging Python, Django, D3.js, and MongoDB to analyze and quantify student’s learning outcome, which helped improve the effectiveness of the teaching platform

Greater New York City Area

• Implemented a regression model using Linear Regression to quantify correlation of sales with in-person and digital engagement, which helped sales and marketing teams optimize engagement strategies and reduce operational cost• Researched and identified important investment categories for top clients by leveraging XGBoost model to predictsales using market investment data, which helped investment teams develop and launch new financial products• Led the implementation of big data analytics platform for key stakeholders to perform statistical analysis and designinteractive dashboards on sales, engagement, and relevant 3rd party data to identify potential sales leads• Partnered with teams in Europe and Asia Pacific to define valuable technical business use cases, RFPs and key benchmarks to evaluate, implement and leverage the analytics platform, improving sales and marketing effectiveness significantly

New York, New York, United States

• Architected a Predictive Model approach which could foresee major issues, based on past error log data, and then devised a roadmap to alleviate their impact and improve productivity• Collaborated with engineering and support teams to identify key areas of improvement and then designed cost effective resilient framework which significantly reduced the development platform downtime• Designed automation scripts, using Python, to simulate real world development scenarios and test the load taking capacity of different technology components• Designed innovative solutions to mitigate impact of production issues by utilizing log monitoring & analyses applications• Designed standard best-practices guidelines which would assist administrators and developers to leverage the development platform more efficiently

Jaipur Area, India

• Managed feature development for the direct customer facing ECommerce Website of this Fortune 500 Company using Agile Methodology and Test Driven Development approach• Communicated directly with business team for Requirement Gathering and Analysis, and collaborated with the engineering and design teams situated across geographically distributed locations to develop stupendous products on tight timelines• Enhanced user experience by delivering quintessential features like Dressing Room, Navigational Menus, Size Recommendation system and Customer Reviews using .NET technology on the server side and JQuery on the client side• Re-designed product page which improved page-load time by 1.4 times, provided easier content management system and enhanced user experience.• Spearheaded transition of the website from in-memory server caching to distributed caching.• Worked as a part of "SWAT team" to map out all the existing functional and non-functional issues on the web application, in order to minimize the site downtime.• Improved efficiency of product and inventory data synchronization across vendor-to-sales channel by 20% by learning about and then leveraging the messaging and scheduling capabilities of TIBCO, an enterprise data distribution software.• Completed training at Infosys Mysore campus with a comprehensive GPA of 4.8/5, qualifying for the top 10% of the students.

New Delhi Area, India

• Conducted extensive research by meeting with ground level engineers to identify major challenges they face during construction of a thermal power plant.• Created a web portal where current employees could collaborate with experienced ex-employees, who have more than 40 years of experience in this domain, to come up with cogent solutions to any roadblocks for on-going projects.• This portal was created using Java Server Pages (JSP) & Oracle and served as an innovative way in utilizing the vast experience of ex-employees. • This ingenious idea increased the overall operation's efficiency by 17 %.

Master Of Science - Ms, Information Systems, Gpa 3.85 / 4.0

Relevant Coursework: Predictive Modelling, Data Mining for Business Analytics, Algorithms, Digital Strategy, Marketing • M.S..

Bachelor Of Engineering - Be, Electrical And Electronics Engineering, Gpa 3.5 / 4.0

Relevant Coursework - Software Engineering, Object Oriented Programming and Data Structures, Economics, Database Systems •.

Mathematics, Physics, Chemistry, Computers, English

• Developed a project, Mobile World, which was basically a mobile catalog based on the current eCommerce business model. This catalog was.