Rajat Sharma

AI Researcher

Bengaluru, Karnataka, India7 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Increased Booking Completion Rate by 5-10% for 2M drivers.
  • Developed ML solutions driving over $50M in revenue.
  • Expert in building scalable ML systems and data-driven insights.
Stackforce AI infers this person is a Data Science expert with a strong focus on B2B and B2C machine learning applications.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Business AnalyticsProduct AnalyticsData AnalysisStatistical AnalysisA/B TestingNatural Language Processing (NLP)PythonCollaborative FilteringProblem SolvingSQLData ModelingData MiningLeadershipDeep LearningTensorFlow

About

I am a Lead Data Scientist with 6+ years of experience in developing and deploying real-time ML models and large-scale production infrastructure, optimizing systems that handle millions of transactions. I specialize in Python, Statistics, Machine Learning algorithms, and model optimization, focusing on data-driven decision-making and business impact. At Gojek, I work with business teams to understand challenges and develop data science solutions, from analyzing problems to building ML models. I manage the productisation phase, designing ETL and training pipelines, and delivering final outputs as APIs. I focus on continuously improving the performance and robustness of our ML systems. I refined the driver allocation model, increasing Booking Completion Rate (BCR) by 5-10% and impacting ~2M drivers. I also designed and conducted large-scale A/B testing, evaluating ML-driven strategies to improve system efficiency and reliability. Previously, at ZS Associates, I built and deployed ML solutions for large B2B businesses, including a lead prioritization system for Microsoft that drove $50M+ in revenue. I also developed production-ready Python pipelines for real-time ML deployment and optimized decision-making models using XGBoost, Random Forest, and NLP techniques. I hold an M.Tech in Machine Intelligence from DA-IICT, where I worked on deep learning projects for image and text classification. I have earned certifications in deep learning, computer vision, and financial modeling, strengthening my expertise in data science, statistical analysis, A/B testing, and ML algorithms. I am passionate about building scalable ML systems and leveraging data-driven insights to solve real-world problems.

Experience

7 yrs 11 mos
Total Experience
1 yr 11 mos
Average Tenure
2 yrs 3 mos
Current Experience

Goto group

2 roles

Lead Data Scientist

Promoted

Oct 2025Present · 8 mos

Senior Data Scientist

Mar 2024Oct 2025 · 1 yr 7 mos

  • At Gojek, I work with business teams to understand challenges and develop data science solutions, from analyzing problems to building ML models. I manage the productisation phase, designing ETL and training pipelines, and delivering final outputs as APIs. I focus on continuously improving the performance and robustness of our ML systems. I refined the driver allocation model, increasing Booking Completion Rate (BCR) by 5-10% and impacting ~2M drivers. I also designed and conducted large-scale A/B testing, evaluating ML-driven strategies to improve system efficiency and reliability.
  • Deployed and optimised real-time driver allocation models handling 200K+ daily transactions, building ETL pipelines, training workflows, and API integrations to enhance scalability, reliability, and CPU efficiency during peak traffic.
  • Applied statistical methods to derive insights from A/B testing and extensive EDA, ensuring data-driven optimizations.
  • Collaborated with business teams to identify challenges and develop data science solutions, transforming raw data into actionable insights.
  • Developed and optimized complex SQL queries with 500+ lines for data alerts and monitoring, enabling foresight detection and resolution of issues.
Business AnalyticsProduct AnalyticsData ScienceMachine Learning

Zs

2 roles

Data Science Associate Consultant

Promoted

Jun 2022Mar 2024 · 1 yr 9 mos · On-site

  • As a Data Science Associate Consultant at ZS, I have experience in delivering real-time ML solutions for large B2B businesses. Skilled in developing production-level Python code for near real-time ML deployments, leading teams, and mentoring junior data scientists to deliver critical projects on time.
  • Leading real-time ML-based lead prioritization and ranking for Large B2B Businesses with revenue realisation of more than $50M, to find out the right set of sales opportunities that can generate greater revenues for a company. Developed production-level Python code for near real-time ML model deployment.
  • I have mentored a team of junior Data Scientists and have delivered various important ML solutions on time.
  • Strong problem-solving and critical-thinking abilities with effective communication and collaboration within cross-functional teams.
Natural Language Processing (NLP)Data ScienceMachine Learning

Data Science Associate

Dec 2020Jun 2022 · 1 yr 6 mos · On-site

  • Responible for effective delivery of bug free and production level data science models and APIs to deploy in production to handle heavy traffic of millions of cuctomers.
  • Build End-to-EndData orchestrations and Machine Learning Pipeline to Extract, Load, Process Data,and Train ML models using Azure Synapse, Azure Data Bricks, and Azure Machine Learning Studio.
  • Performed Extensive Exploratory Data Analysis on Big Data using Azure Synapse & PySpark togenerate useful insights for Business.
  • Applied Natural Language Processing techniques like POS tagging and Topic Modelling etc., toextract sentiments and summarize the feedback forms and then used BERT to classify the forms intomultiple classes, to get the overall essence of the feedback to enhance coaching of sales reps.
Data ScienceBusiness AnalyticsMachine Learning

Kristal.ai

Data Scientist & Software Developer

Jan 2020Dec 2020 · 11 mos · Bengaluru, Karnataka, India · On-site

  • As a junior Data Scientist I was responsible for developing and delivery of data science solutions inpython for deployment.
  • I have Created a Recommendation System using Collaborative Filtering and Collective MatrixFactorization Technique for Stocks and ETF recommendations based on the client’s details and riskappetite, also solved the cold start recommendation problem.
  • Worked on natural Language Processing Tasks and Sentiment Analysis of News Articles, extractedfrom various news websites by the web crawler for Text Analytics.
Natural Language Processing (NLP)Data ScienceMachine Learning

Dhirubhai ambani institute of information and communication technology

Teaching Assistant

Jul 2018Jan 2020 · 1 yr 6 mos · Gandhinagar

Problem Solving

Education

Dhirubhai Ambani University

MTech ICT ( Machine Intelligence ) — ICT

Jul 2018Apr 2020

Shri Shankaracharya Technical Campus Bhilai

Bachelor's degree — Computer Science

Jan 2014Jan 2018

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