Data Scientist | Ex - PhonePe, Apple | IIIT Allahabad

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Gurugram, Haryana, India

Hyderabad, Telangana, India

Prayagraj, Uttar Pradesh, India






Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
Indian Institute Of Information Technology allahabad
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Passionate about the transformative power of data, love to extract valuable insights that drive real-life problem solving. With a strong analytical mindset and expertise in cutting-edge tools, I uncover hidden patterns and trends within complex datasets. Collaborative approach, bridging the gap between data and actionable recommendations. Seeking opportunities to make a difference through the power of data.
Bengaluru
claude code
codex
gemini
opencode
huggingface
Data Scientist at CRED, Oct 2025 - Present · 11 mos, Bengaluru, Karnataka, India
Data Scientist at PhonePe, Dec 2023 - Oct 2025 · 1 yr 11 mos, Bengaluru, Karnataka, India, * Implemented a location intelligence solution, enhancing collection efficiency through identification of key user locations beyond KYC. * Deployed machine learning models (salaried/self-employed prediction, transaction risk, competitor offers) at scale, significantly improving offer selection. * Automated analysis and reporting workflows with Airflow; optimised targeting and onboarding strategies in collaboration with secured lending.
Data Scientist Intern at Bizongo, Aug 2023 - Nov 2023 · 4 mos, Gurugram, Haryana, India, * Leveraged both quantitative and qualitative data analysis techniques to assess applicants’ financial profiles in a machine learning context. This involved the utilization of advanced algorithms and models to evaluate key factors such as credit history, income stability, debt-to-income ratios, and collateral values. * Contributed to the development and optimization of machine learning-driven credit policies and procedures, as well as participated in the refinement of credit risk assessment models and the enhancement of fraud detection algorithms.
Machine Learning Engineer Intern at Apple, Jan 2023 - Jun 2023 · 6 mos, Hyderabad, Telangana, India, * Led the development of a comprehensive end-to-end machine learning (ML) pipeline, strategically designed to forecast wait-times. Employed advanced data processing and feature engineering techniques, resulting in the creation of a highly accurate model tailored for use by over 1 million employees. * Achieved a remarkable improvement by reducing the Root Mean Square Error (RMSE) from its initial duration of 300 hours to less than a day, marking an exceptional 92% reduction in prediction time. * Pioneered the creation of a robust functional API capable of handling bulk predictions, adeptly managing a substantial workload of over 47,000 API calls within a single day.
Research Student at Indian Institute of Information Technology, Allahabad, Jan 2022 - May 2023 · 1 yr 5 mos, Prayagraj, Uttar Pradesh, India, • Worked on a project aimed at detection of varying human behaviour while driving, to develop an advanced driver‑assistant system (ADAS) and intelligent transportation system (ITS). • Published a conference paper revolving around Model‑Centric and Data‑Centric Artificial Intelligence, aimed at providing a novel quantitative analysis of model‑centric and data‑centric approaches based upon the hybridization of methods within these approaches.
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Indian Institute Of Information Technology allahabad