Rohit Jindal

Data Scientist

India5 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Data Science applications.
Passionate mentor with over 300 hours of training delivered.
Published research on Data Drift at ICAIF Conference.

Stackforce AI infers this person is a Data Science expert with a focus on Fintech and AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningData ScienceStatistical ModelingData AnalysisMentorshipProject Management

Other Skills

AI SolutionsCommunicationData StructuresData DriftModel RobustnessInstructor-led TrainingDepartment ManagementEnterprise ArchitectureFinancial AnalysisSoftware Solution DevelopmentData StorytellingResponsible AIArtificial Intelligence (AI)Neural NetworksLarge Language Model Operations (LLMOps)

About

Senior Data Scientist | Mentor & Educator | Quantitative Researcher I help organizations harness Machine Learning, Deep Learning, and LLMs to drive measurable business impact. With a career spanning engineering, research, and advanced analytics, I specialize in translating complex mathematical concepts into practical data-driven solutions that improve decision-making, customer experience, and operational efficiency. Beyond my professional work, I am deeply passionate about mentorship and teaching—guiding professionals and students as they transition into data science and upskill in AI/ML. Having taught and mentored learners across industries and academic backgrounds, I take pride in simplifying difficult concepts and enabling others to grow in their careers. 🎓 Education: IISc Flagship Analytics Program | Cambridge University Exposure | DTU 🏆 Achievements: GATE AIR 79 | JEE 99.8 Percentile | DTU Rank Opener | Class 12th (94%) | Class 10th (96%) 💼 Experience: Target | State Street | Mastercard AI Garage | Ircon International 📊 Expertise: Machine Learning | Deep Learning | LLMs | Advanced Statistics | Advanced Regression 🔬 Research: Published paper on Data Drift at ICAIF I believe the most rewarding part of my journey is not just solving business problems but also empowering the next generation of data professionals to navigate this rapidly evolving space.

Experience

5 yrs 5 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 10 mos

Current Experience

Target

Senior Data Scientist

Aug 2023 – Present · 2 yrs 10 mos · Bengaluru · On-site

Senior Data Scientist at Target, specializing in solving high-impact retail problems across the value chain, including supply chain optimization, merchandising analytics, and customer experience enhancement. My work focuses on applying advanced data science, machine learning, and experimentation to drive scalable business outcomes and enable data-driven decision-making.
I am particularly passionate about improving the end-to-end guest experience by leveraging data to influence areas such as product availability, demand forecasting, and operational efficiency.
More recently, I have been working hands-on with AI technologies, including Large Language Models (LLMs). I actively build and experiment with solutions using frameworks such as LangChain and LangGraph, and develop AI agents to explore real-world applications of generative AI in enterprise workflows.

AI SolutionsData ScienceMachine Learning

State street global advisors

Quantitative Researcher (Financial ML)

Jan 2023 – Jan 2023 · 0 mo · Bengaluru · On-site

🔹 Quantitative Research & Portfolio Optimization: Designed and validated a novel factor through rigorous backtesting and statistical modeling, leading to a 1.6% increase in alpha and a 4.1% improvement in bucket returns. Applied machine learning and time series analysis to enhance portfolio performance.
🔹 Data Acquisition & Scalable Pipelines: Led data acquisition and integration, collaborating with vendors to secure specialized datasets. Built efficient data pipelines and optimized preprocessing workflows using Databricks, Apache Spark, R, and SQL.
🔹 Technical Expertise & Model Development: Experienced in Python, R, SQL, ML algorithms, Spark (Big Data), GitHub, and Linux. Worked on end-to-end model development, validation, and deployment, ensuring scalable and production-ready solutions.

AI SolutionsCommunicationMachine LearningStatistical Modeling

Mastercard ai garage

Data Scientist

Jan 2022 – Jan 2023 · 1 yr · Gurgoan · On-site

🔹 Research & Publications: Presented a paper at the ICAIF Conference, contributing to advancements in AI for finance.
🔹 Machine Learning for Payments Data: Developed and optimized ML models (SVMs, Boosting, and Bagging techniques) on real-world payments data to enhance predictive accuracy and decision-making.
🔹 Model Robustness & Data Drift Analysis: Evaluated the impact of data drift, enabling Mastercard to design resilient model pipelines that adapt to evolving data distributions.

AI SolutionsData StructuresMachine LearningData Analysis

Ircon international ltd. (govt. of india undertaking)

Assistant manager (Govt Of India Officer)

Aug 2019 – Mar 2021 · 1 yr 7 mos · Delhi, India

🔹 Applied Machine Learning to predict cement compressive strength, reducing the traditional 28-day waiting period, enhancing efficiency and decision-making.
🔹 Automated workflows using Advanced Excel & VBA, optimizing data processing, accuracy, and time management, leading to a more efficient project lifecycle.
🔹 Data-Driven Project Management: Managed and analyzed work worth ₹3 Crore, leveraging data analytics for planning, monitoring, and execution optimization.

Department ManagementCommunicationProject ManagementData Analysis

Springboard

Data Science Mentor & Expert

Apr 2019 – Aug 2022 · 3 yrs 4 mos · Bengaluru · Remote

🔹 Mentorship & Training: Delivered 300+ hours of mentorship, guiding aspiring data scientists and ML engineers through structured learning pathways.
🔹 Core ML & Algorithmic Understanding: Focused on machine learning fundamentals, mathematical proofs, statistical modeling, and algorithmic optimization to build a strong conceptual foundation.
🔹 Curriculum & Content Development: Designed comprehensive DS & ML learning materials, including hands-on projects, case studies, and coding exercises to enhance practical skills.
🔹 Personalized Learning & Career Coaching: Developed customized roadmaps and courses aligned with students' career goals, helping professionals transition into AI, ML, and Data Science.
🔹 Advanced Topics & Industry Applications: Led sessions on MLOps, Deep Learning, and Neural Networks, tailored for corporate professionals integrating AI/ML into production environments.

AI SolutionsInstructor-led TrainingMentorshipMachine Learning