Dec 2020 – May 2021 · 5 mos

• Completed 200+ hours Data Science training through uDemy, learning various algorithms such as SVM, k-NN, Random Forest, Dimensionality Reduction Algorithms, Deep Learning techniques and Gradient Boosting Algorithms
• Excellent understanding and experience with common data science toolkits, such as SAS, NumPy, Pandas & Jupyter Notebooks
• Experimented with Neural Networks and Time Series Algorithm for predicting daily cash receipts amounts across various entities at Bell

Nov 2017 – Dec 2020 · 3 yrs 1 mo

• Promoted self-serve analytics program (IBM Cognos, Alteryx) and adoption of new data management tools (GIT, Collibra) through documentation, implementation support and internal user training
• Responsible for monitoring and supporting Finance team’s data governance and metadata management in Collibra
• Process improvement – identify opportunities to automate and improve efficiency using shell and perl scripting
• Create Reports and Dashboards using SAS, Cognos, Tableau and Teradata for data driven business decisions
• Completed online Machine Learning and Data Science training through numerous courses on udemy.com
• As member of Diversity and Inclusion team within Bell, created awareness and increased engagement within Data and Analytics team

May 2016 – Aug 2017 · 1 yr 3 mos · Greater Halifax Metropolitan Area

• Compiled and delivered data reports through standard reporting formats in advanced MS Excel on an on-going basis (e.g. weekly, monthly, quarterly etc.)
• Automated the production of reports using VBA programming enabling quicker and efficient production while maintaining low error rate
• Designed, build and test new reports to support CWM business strategies and operational performance
• Conducted thorough investigations of problems, performed quantitative analysis, developed project methodologies and recommendation for executives at RBC
• Performed in-depth data analysis over various data sources at RBC CWM system to develop predictive cost savings algorithms in CWM system

Mar 2015 – Jan 2016 · 10 mos · Gurugram, Haryana, India

• Designed, deployed and automated statistical, mathematical and machine-learning methods in applied to modeling and prediction of customer behavior
• Responsible for defining, developing and communicating key metrics and business trends to top management teams
• Conceptualized and deployed Dail-A-Deal solution where Walmart India member gets personalized deals upon calling a toll free number
• Generated Shopping lists (weekly, monthly) for Walmart India members based upon purchase history and buying pattern
• Data Analysis of POS transactions, pricing trends, omni-channel analysis using Python, TeraData, MS-Access, MS-Excel, Shell scripting

May 2010 – Apr 2014 · 3 yrs 11 mos · Noida, Uttar Pradesh, India

• Prepare detailed, specific product requirement documents and use cases for the development of new features or enhance the existing one.
• Set up systems and processes for measuring data across different teams and functional areas
• Communicate across different teams, understand their problems and figure out how Analytics can help make them work better
• Build and use tools, algorithms and processes to analyze data and provide actionable insights to various teams
• Develop statistical models to measure and optimize pricing and marketing campaigns
• Define data analytics and reporting needs by conducting meetings with key stakeholders, including business and technical teams
• Managed team of 3-5 data analysts, co-ordinating data requests across all portals of Info Edge India
• Extensive Data Research, Preprocessing, Analysis & Modeling using SAS, Python, Perl, MySQL & MS-Excel

Apr 2009 – May 2009 · 1 mo · Greater Bengaluru Area

• Market study of online media consumption
• Identified key flow patterns of online media consumption in cyber-cafes, offices and educational institutions
• Primary and secondary research involving user need analysis, segmentation and Yahoo! SWOT analysis
• Presented ideas before Yahoo! India MD, most of them to be implemented in near future
• To propose features for a fan page on Yahoo! India Movies
• Conducted an online market survey (2500 respondents). Data collection and analysis to understand user behavior
• Carried out user needs analysis and developed PRD for the feature set

May 2007 – May 2008 · 1 yr · Noida, Uttar Pradesh, India

• Amongst the top three performers of the team of size 10
• Solely conceptualized and developed an automated system capable of handling 50 million live users on multiple servers
• Youngest release LEAD Engineer in the company entrusted with the responsibility of coordinating end to end releases

Jul 2006 – May 2007 · 10 mos

May 2005 – Jul 2005 · 2 mos