Rishikant Rajan Senior Data Scientist

Y

Sr. Data Scientist

Yallo (Client - Alshaya Group)

Jun 2025 - Aug 2025 (3 months)

• Classified 250K option level time-series into Smooth, Intermittent, Erratic and Lumpy types. (Python, SQL)
• Improved Holt’s Winter script and used Holt model for options with history less than 2 seasons (Python)
• Implemented LSTM model for all the options, which improved the forecasting metrics over Holt’s Winter (Python)
• Created a dataset of holidays and shopping events for each country. Used these events along with other features and created a XGBoost regression model which further improved the long-term accuracy of 26 weeks forecasting. (Python)

N

Data Scientist

Newlineinfo (Client - Goodrx)

Dec 2023 - Oct 2024 (11 months)

• Binary classification model using claims data in order to predict the NDCs available in the pharmacies for a given drug. This helps in better pricing of coupons and improves customer experience (XGBoost, Spark, Databricks, Python, SQL)
• Analysis to find the major drivers for the claim reversals like early refills, drug class, etc. and understanding the impact of insurance business on cash coupons (Python, SQL, Databricks)

Sr. Mgr - Data Science

Holcim

Aug 2021 - Dec 2023 (2 years 5 months)

• Led a team of 5 data scientists (vendor)
• Order cancellation/ Volume forecasting model for Western Canada region in order to generate a cancellation probability of the orders and forecast ‘volume to be delivered’ for a jobsite, 3 days in advance. It was presented in BUILDEX Alberta conference in Canada by the stakeholder. (XGboost, Python)
• Cement deviation analysis in order to reduce cement cost and CO2 emissions. (Python)
• Computing various plant down costs - deadheading, extra-delivery, extra truck wait time at plants, etc. (SQL)
• Tableau Dashboards - cement demand projections, orders ordered/delivered, wait time, non-compliant tickets, etc.

Data Scientist - 2

Amazon

Sep 2019 - Jul 2021 (1 year 11 months)

• Refining the featured offers on the product page based on the cart status of the customers. Added parameters in the offer score computation and ran experiments to decide the coefficient/ final model. This feature is mainly used for grocery/ household products. (Python, SQL, Excel)
• Code to create the model json files based on the parameters in config (Python)

Sr. Data Scientist

Near

Aug 2017 - Jan 2019 (1 year 6 months)

• Logistic Regression model for predicting Gender/ Age based on apps usage for 19 countries. (Python, Spark ML)
• Analysis on 1 month of RTB data – Distribution of users with no. of pings for ground truth, place category of pings

Sr. Principal Data Scientist

Makemytrip

Sep 2016 - Jun 2017 (10 months)

• Comparison of existing internal SEM bidding model with Adobe’s Media Optimizer (R, hive)
• Orders conversion report depending on user’s search frequency from Omniture data (Hive)

Sr. Data Scientist

Applift

Sep 2015 - Jul 2016 (11 months)

• Fraud Prediction model using logistic regression in order to detect fraud ad requests. Deployed in the platform with end to end automation. (Vowpal wabbit, Python, Spark, Pig)
• CTR Prediction for mobile ads using logistic regression model based (Vowpal Wabbit)

Technical Architect

Fidelity National Financial

Aug 2015 - Sep 2015 (2 months)

• Setting up the data science team

Manager - Data Scientist

Symphony Teleca

Oct 2014 - Aug 2015 (11 months)

• Led a team of 3 data scientists and was responsible for client engagement/ project delivery.
• Improved accuracy of Fault Prediction for a premium car brand using over 1000 Diagnostic Trouble Codes and Data Identifiers (sensor data). Implemented Random Forest and Support Vector Machines (SVM) with features selected using MRMR/ LASSO and achieved better accuracy compared to initially implemented Association Rules.

Data Scientist

Groupon

Apr 2013 - Oct 2014 (1 year 7 months)

• Awarded as ‘Emerging Leader’ for the excellent performance.
• Exponential smoothing based demand forecasting to predict the number of vouchers for various countries. Improved the earlier algorithm resulting and reduced the forecasting errors. (R, SQL, Excel)
• Optimized the category mix for large and small markets in the UK and gave recommendations for maximizing the deal value based on Markowitz portfolio theory. Also developed a dashboard in order to track the metrics.
• Classification using SVM to find out the risky merchants based on the refund rates for Poland (R, SQL)
• Major drivers for the First Time Resolution (FTR) metric and recommendations to improve it. (SQL)

Senior Analyst

Ford Motor Company

Apr 2012 - Apr 2013 (1 year 1 month)

• Forecasting the industry shares using Linear Regression for various segments in the North America region, based on various macro-economic factors (SAS, Excel)
• Time series modeling using ARIMA to generate the forecasts for North America and US at Industry level. (SAS)

Senior Analyst

LatentView Analytics

Jun 2011 - Mar 2012 (10 months)

• Led a team of 4 data scientists and was responsible for client engagement/ project delivery.
• Led a project on demand planning and forecasting for a multinational FMCG company. Improved accuracy of the forecasts using ARIMA modeling and reduced time for various reports and Holt Winter’s model through excel automation. Also, responsible for client interaction and team deliverables. (SAS, Excel, VBA, SQL)
• Uplift modeling using Logistic Regression and Decision Tree for measuring the incremental effect of marketing campaigns for a leading manufacturing company of nutrition products. (SAS, SQL, Excel)

E

Asst. General Manager

Everonn Skill Dev. Ltd.

Nov 2010 - May 2011 (7 months)

• Product Management for Student Management System (MIS) for data entry, monitoring and reporting of various projects i.e. NSDC, MoRD - SGSY, etc. Designed the RDBMS (E-R Diag.) and functionality of the application.
• Made the proposal for V-SAT enabled Expert Lectures, Soft Skills and Train the Trainer programs.

C

Senior Manager – It Soln

CAP Foundation

Apr 2009 - Sep 2010 (1 year 6 months)

• Project Management for CAP website, Job Portal and Social Networking portal
• SPOC for the vendor and responsible for deliverables and payments
• Presented the portals to funding partner, board members, top management and project management team
• MIS Management
• Presented the MIS for MoRD’s (Ministry of Rural Development) SGSY project at NIRD.

J

Member Technical

Juno Online

Jul 2005 - Jun 2007 (2 years)

• Led a team of developers for developing new billing transactions during merger with Classmates.
• Developed new opcodes and Billing System Interface transactions, for the launch of new broadband deals (C++)
• Modified Event Viewer transaction and made it error free and introduced many configurations to make it more robust, it is being used in extracting the events related to any account for a given period of time (C++)
• Developed an Email-Search GUI for searching emails for Photosite customers (Java Swing, SQL)

Rishikant Rajan

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