Vikram Jeet Singh

Product Data Scientist

Cadient•  April 2024 - Present•  Noida, India

Single-handedly led the entire data science process from data loading to model deployment for company’s hiring solutions data science tool ‘Decision Point’. • Identified target metrics for ‘Decision Point’ predictions, specifically tailored for hourly jobs in the US market. • Extracted data using SQLite in AWS Athena, performed exploratory data analysis, and engineered variables using AWS Sagemaker in Jupyter. Analyzed data with Amazon QuickSight. Utilized AutoML in AWS Sagemaker for model building and managed deployment via AWS S3 bucket. • Developed forecasting models to predict hiring trends and workforce needs, enhancing the accuracy of the ‘Decision Point’ tool's predictions for various industries. • Managed data and built models for various clients from different industries like automotive after-market, fast food industry etc. • Documented all variables, model workings, and performance metrics for each hiring position and client. • Worked directly with the US team, providing guidance on requirements from the client and data needs while ensuring regular progress updates. • Collaborated with the Director of Data Science, data engineers, and analysts to facilitate project completion. Engaged the entire tech team in understanding data science processes for future project collaboration, by giving them in depth knowledge of process and guiding them with the courses for better understanding of the field. Also monitored and mentored an intern who later transitioned to a Data Science Analyst role within the team.

Product Analyst

Swiggy•  April 2023 - January 2024

• Ensured integrity and security of Swiggy's Instamart (9 million Monthly Users), Grocery Delivery product by focusing on customer and delivery executive fraud prevention. • Developed and implemented strategies to track, analyze, and mitigate fraud incidents, resulting in enhanced trust and reliability of the platform. • Created dynamic dashboards to monitor weekly cancellation numbers, gratification levels, and delivery fraud incidents, providing actionable insights to relevant teams. • Implemented rules within the platform to detect and prevent delivery executive frauds, significantly reducing fraudulent activities and cancellations. • Validated these rules through comprehensive A/B testing conducted across multiple cities, ensuring their effectiveness and applicability in diverse operational environments. • Utilized SQL, Snowflake, Python, Google Sheets, and Excel to extract, analyze, and present data-driven insights, enabling data-informed decision-making. • Collaborated closely with cross-functional teams, including product managers, data scientists, and technical experts, to drive comprehensive fraud prevention strategies. • Acted as a subject matter expert, providing guidance and mentorship to colleagues, fostering a culture of continuous improvement and knowledge sharing. • Presented work and findings to higher stakeholders, including General Managers and VPs, effectively communicating the impact of fraud prevention measures and driving support for further initiatives.

Business Analyst - Senior Associate

OYO Rooms•  April 2022 - July 2022

As a part of Revenue team, work included: • Extracting data from Databases of the company, as per requirement of the Stakeholder using SQL or R Programming and making reports based on that using R programming, Python and Google Sheets/Excel. • Doing analysis of the data, finding the hidden anomalies in the data and suggesting the next steps to be taken. • Create data dashboards for stakeholders to have regular visibility on key metrics, who report directly to the CEO and CXO of the company.

Data Scientist and RPA Developer

The Judge Group•  May 2021 - January 2022

1. Designed RPA for creating training report for HR department and for external clients, using Automation Anywhere and Power BI. 2. Created POC for complaint management system (ticketing system), for client, using Automation Anywhere. 3. Created POC for extracting data from invoices using IDP(Intelligent Document Processing) tools and logged that data to companies invoice management platform, then generated a report for the same, using IQ bot, Bot Insights and Automation Anywhere. 4. Developed expense reimbursements management for HR department, using Automation Anywhere . 5. Automating Azure virtual machine starting and stopping based on the email sent by the admin to registered email, using Azure and Automation Anywhere. 6. Self Project: Developed charts and performed EDA of data, based on the CSV file entered by user, using Automation Anywhere and Python.

Student Expert

Chegg•  March 2021 - May 2021

Here, I have to upload answers of the questions asked by students from various countries, based on computer science, statistics and Data science

Data Science and Business Analytics Intern

The Sparks Foundation•  November 2020 - December 2020

1. Prediction of marks scored by a student based on the number of hours studied. Applied Simple Linear Regression using Python to predict. 2. Predicted the optimum number of clusters for sample data of eyes (Iris) dataset. Applied K-means cluster in Python to predict. 3. Exploratory Data analysis on retail data using Python.

Virtual Internship Program

Microsoft•  September 2020 - November 2020

In this internship, I learned about communication, body language and how to act in different situations of corporate culture. Also worked on oratory skills.

Sales Intern

Apple•  December 2019 - January 2020

Learned about sales and marketing and how to use various iOS products.