Data Scientist - 1 @ Jar | Machine Intelligence, Data Science

Bengaluru, Karnataka, India

Bangalore Urban, Karnataka, India

Bengaluru, Karnataka, India

Bangalore Urban, Karnataka, India








Bachelor of Technology - BTech, Computer Science
PES University
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As a Data Scientist - 1 at Jar, I contribute to advancements in data-driven decision-making, leveraging skills in SQL, Tkinter, and GitHub to support impactful projects. My role builds on my academic and professional foundation in computer science, enriched by a BTech degree from PES University and a specialization in Machine Intelligence and Data Science. My career reflects a dedication to solving complex problems through data science and analytics. With experience in technical writing and a history of research in AI-powered solutions, I aim to further innovate and deliver value at the intersection of technology and data science, driving actionable insights and organizational efficiency.
Bengaluru
claude
codex
cursor
gemini
Blackbox AI
Promptfoo
Data Scientist - 1 at Jar, Aug 2025 - Present · 1 yr 3 mos, Bengaluru, Karnataka, India
Technical Writer at Medium, Jan 2025 - Present · 1 yr 10 mos, Bangalore Urban, Karnataka, India
Data Scientist Intern at Jar, Feb 2025 - Aug 2025 · 7 mos, Bengaluru, Karnataka, India
Business Analyst Intern at Taiyo Kagaku Co., Ltd., Jun 2024 - Nov 2024 · 6 mos, Bangalore Urban, Karnataka, India, Identified workflow bottlenecks, implementing solutions to enhance operational efficiency and streamline production cycles. Analyzed delivery data to devise cost-effective strategies, reducing delivery timelines and boosting client satisfaction for a 100% export-focused business. Conducted cost-benefit analyses to save logistics expenses while standardizing documentation processes to reduce errors and improve team collaboration.
Summer Research Intern at Sports Technology And Analytics Research Centre(STARC), Jun 2023 - Aug 2023 · 3 mos, Designed an AI-powered solution to enhance fast bowling performance and reduce injury risks using YOLO for action detection and Mediapipe for pose estimation. Implemented CNN for image recognition, reverse image search for action comparison, and content-based retrieval to optimize bowling techniques. Trained on 1,000+ datasets, delivering improved performance outcomes and effective injury prevention strategies.
Bachelor of Technology - BTech, Computer Science, PES University