Mitisha Agarwal

Data Scientist

Bengaluru, Karnataka, India2 yrs 8 mos experience

Key Highlights

Expert in deploying machine learning models at scale.
Proven track record in automating data analysis workflows.
Strong analytical mindset with a focus on actionable insights.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and Machine Learning applications.

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Skills

Core Skills

Machine LearningData Analysis

Other Skills

Location IntelligenceAutomationReportingPython (Programming Language)GitData ProcessingDeep LearningFinancial AnalysisMySQLNatural Language Processing (NLP)MLOpsComputer VisionMongoDB

About

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.

Experience

2 yrs 8 mos

Total Experience

1 yr

Average Tenure

7 mos

Current Experience

Cred

Data Scientist

Oct 2025 – Present · 7 mos · Bengaluru, Karnataka, India · On-site

Phonepe

Data Scientist

Dec 2023 – Oct 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

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.

Machine LearningLocation IntelligenceData AnalysisAutomationReporting

Bizongo

Data Scientist Intern

Aug 2023 – Nov 2023 · 3 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 LearningPython (Programming Language)

Apple

Machine Learning Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · Hyderabad, Telangana, India · On-site

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.

Machine LearningGit

Indian institute of information technology, allahabad

Research Student

Jan 2022 – May 2023 · 1 yr 4 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.

Machine LearningDeep Learning