Neeraj Jadhav Email & Phone Number

Purchase, Ny, Us

Purchase, Ny, Us

•Built analytical pipelines on the big-data framework to help Mastercard identify sources of payment card breaches and the subsequent related fraud incidents.• Design and Develop automated Machine Learning solutions to discover payment card breach patterns to reduce overall fraud proactively.• Identify key parameters that drive payment card fraud and build data-driven fraud insights for stakeholders.• Support analyses related to the investigation of payment-card account data compromise events and identifying potential points of compromise.• Support investigations and related R&D work in identifying account data compromises across the network.

Draper, Ut, Us

• Lead Engineer in designing and developing the company’s primary forecasting engine (“the Clearcast”). Clearcast is a one-stop solution for marketing specialists and the workforce management team to effectively forecast impressions, sales, revenue/costs, and schedule sales agents across different marketing channels. • Designed a brand-level marketing automation system that uses real-time Machine Learning to create, maintain and track marketing/sales forecasts and workforce capability to trigger marketing campaigns across different marketing and consumer brands dynamically. • Automated A/B tests across all marketing domains, thereby removing the dependency for the marketing specialists to wait for data analysts to run and interpret the test results. • Developed a real-time A/B test monitoring system that allows specialists to visualize, compare and evaluate hypothesis test significance levels and results on the fly.

Draper, Ut, Us

As a Data Scientist, my primary responsibilities include working with advanced statisticalmethodologies to uncover insights, opportunities and drive greater levelsof efficiency and effectiveness in Clearlink's marketing efforts. My responsibilities include: 1. Optimizing forecasting using a variety of time series approaches to create, maintain and track marketing/sales forecasts. 2. Developing predictive models to enhance customer acquisition and loyalty.3. Using different machine learning approaches to estimate, create and target potential customer audiences.4. Developing in-depth statistical assessments of Clearlink's marketing efforts5. Applying data sense and statistical insights to develop a range of methodologies to assess results for small and medium sample sizes.6. Exploring new sources of data, developing analytic methodologies and discovering a range of insights to influence business results.

Draper, Ut, Us

As a Data Science Intern, I am responsible for assisting Clearlink's Data Science team in:1. Building statistical models to understand the relationship between different determinant attributes in Marketing by articulating the research problem and objectives, developing the overall research plan, and disseminating the findings of the analysis. 2. Designing and implementing predictive models to estimate the effect of online campaigns for different brands with a high accuracy.3. Performing deep statistical analysis on large volumes of transaction and digital media data to detect patterns and used data mining to estimate seasonality across campaigns for brands specializing in different verticals. 4. Creating and expanding visualizations to a granular level to understand each element of digital marketing (SEO, PPC, AdWords, etc.)

New York, Ny, Us

My responsibilities included developing and modifying web based applications, analyzing user requirements to implement technical solutions and programming applications for products designed to cater to Hedge Fund investments. 1. Automated ETL and database operations on the Enterprise Data Warehouse to reduce man-hours by 40%.2. Developed a utility on the .NET framework to automate data management tasks across the organization and saved up to 80 man-hours/week. 3. Improved usability of the existing applications by configuring changes and created rules to reduce complexity. 4. Created customized reports for clients (that specialize in Hedge Fund trading) on Tableau and SSRS platforms using transaction and market trade data.

Salt Lake City, Utah, Us

As a Teaching Instructor for the course Computer Essentials, I tutored more than 75 students in Computer fundamentals and Microsoft Office suites. The Computer Essentials course specialized in the following key areas.1. Information Security 2. Computer Networks3. Data Management4. Database Technology5. The Internet and World Wide WebIn addition to tutoring, my responsibilities included grading labs and assignments, assisting students during the office hours and offering technical support in case of any lab/project related issues.

Salt Lake City, Utah, Us

As a Teaching Assitant for the Business Intelligence and Analytics Course, I had the opportunity to help more than 60 graduate students master critical Analytics concepts. I also assisted students by helping them set up and train them to use following BI and Analytics tools. 1. Oracle Business Intelligence Enterprise Edition2. Tableau3. Statistical Analysis using R on R StudioIn addition to tutoring, I assisted the professor by holding office hours, grading class assignments and labs, offering class recitations, and conducting discussion sessions.

Chesterfield, Mo, Us

My responsibilities included analyzing end-to-end performance of the web-based application processes, exploratory analysis of customer data, and isolating and resolving performance issues encountered in different stages of the application lifecycle.1. Built statistical models using different Regression techniques to predict customer buying patterns. These recommendations played a meaningful role in increasing client’s annual revenue by 5%.2. Estimated relationships between different customer attributes to provide personalized recommendations.3. Visualized customer data on R & Tableau to provide personalized analysis at a granular level.4. Developed interactive dashboards and storylines on Tableau to effectively present analysis to Clients.5. Cleaned inconsistent datasets using imputation techniques to optimize the Analysis process by 10%. 6. Conducted training sessions on R, Tableau, and Statistical Modeling for the new recruits.

Mumbai , Maharashtra, In

Master Of Science (M.S.), Information Systems

Bachelor Of Engineering (B.E.), Information Technology