Dec 2024 – Apr 2025 · 4 mos · Pune, Maharashtra, India

Jun 2024 – Dec 2024 · 6 mos · Pune, Maharashtra, India

Nov 2022 – Jun 2024 · 1 yr 7 mos · Pune, Maharashtra, India · On-site

• Established and expanded the Data Analytics function, recruiting 7 analysts during the expansion.
• Implemented numerous data pipelines to ingest and integrate data into the data warehouse.
• Led a team of analysts in creating approximately 100 Tableau dashboards within a year.
• Proficient in utilizing the AWS stack, including GLUE, LAMBDA, REDSHIFT, and others.
• Demonstrated expertise in ETL tools such as Hevodata

Dec 2021 – Oct 2022 · 10 mos · Mumbai, Maharashtra, India · Remote

• Supervised a Data Science team comprising both junior and senior data scientists and analysts.
• Formulated multiple machine learning (ML) models employing diverse technologies, including classical machine learning, Natural Language Processing (NLP), and image recognition.
• Led crucial client projects as a team lead within the data science division.
• Utilized the AWS stack and Jupyter notebooks, actively participating in the development and deployment of ML models using AWS EC2

Jul 2021 – Dec 2021 · 5 mos · Mumbai Metropolitan Region · Remote

• Delivered Business Intelligence (BI) assistance to critical business units, including Product and Finance.
• Contributed to various BI projects aimed at bolstering the Prime Video business.
• Executed pivotal roles involving tactical and strategic technical support through data exploration and analysis.
• Applied tools such as SQL, Python, and AWS tool sets including S3 and Redshift in daily tasks

Oct 2019 – Jun 2021 · 1 yr 8 mos · Mumbai Area, India · Hybrid

• Oversaw the conception and implementation of machine learning projects.
• Analyzed financial services data sourced from credit bureaus.
• Formulated scalable machine learning models with the goal of boosting company revenue and enhancing customer retention.
• Constructed multiple machine learning models utilizing Jupyter notebooks and advanced machine learning libraries

Oct 2018 – Aug 2019 · 10 mos · Mumbai Area, India · On-site

• Responsible for end-to-end development and production of ‘Product Sandbox’ for Clearscore which was demoed at the company’s annual offsite and partner event
• Worked on several Data driven initiatives with the objective of retaining the company’s customer base and expand the product’s outreach and offerings to the users
• Worked on ML technologies like AWS SageMaker/EC2/S3 and Python libraries including Pandas, Numpy, SKLearn, XGBoost, Redshift, PostgreSQL

Jun 2017 – May 2018 · 11 mos · Mumbai Area, India

• Key Result Areas:
• Spearheaded entire gamut of operations related to analytics projects; provided analytics consulting to clients in sectors such as FSI and so on
• Operated on Big Data Platform (Hadoop) and used Hive Environment to connect to large data sets
• Performed data manipulation using HQL
• Ensured the successful delivery of emerging big data solutions
• Managed projects from requirements gathering and scope preparation to project closure
• Suggested technology-based solutions for enhancing functional efficiency & achieving business excellence
• Interacted with clients for requirement gathering; evaluated technical & feasibility of solutions

Dec 2015 – Jun 2016 · 6 mos · Mumbai Area, India

• Title: Scenario Analysis
• Description: Aim of the project was to calculate and analyze balance sheet consumed by various Hedge Fund clients of the Prime Services division through developing a tool using VBA
• Title: Index Rebalancing
• Description: Purpose of the project was to analyze Russell 3000E index to estimate additions and deletions of equity scrips to the overall index and also predict which stocks could switch between various sub-indexes using Bloomberg and MS Excel/VBA

Oct 2014 – Nov 2015 · 1 yr 1 mo

• Title: Collateral Management
• Leveraged skills in formulating a model for predicting near exact requirement of collateral for the trading desk, and also for providing trade recommendations based on a customized algorithm
• Title: Client Optimisation
• Showcased tenacity in building a quantitative tool for calculating client’s balance sheet from positional and trade data

Jul 2013 – Nov 2013 · 4 mos

• Title: Volatility Modelling
• Resourcefully developed:
• o Model in Excel/VBA to improve index-option prices by using optimisation techniques
• o Fully functional Black & Scholes Pricing model in Excel, and used it to calculate implied volatility from option prices
• Title: Trading Tools
• Created several trading tools for the options trading desk and thus made significant improvements to existing tools