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Kanika Mehta

Operations Associate

Gurugram, Haryana, India5 yrs 3 mos experience
Highly Stable

Key Highlights

  • 4+ years of experience in data science
  • Expertise in Python, SQL, and Tableau
  • Proven track record in delivering data-driven solutions
Stackforce AI infers this person is a data science professional with a focus on Fintech solutions.

Contact

Skills

Core Skills

Data Analysis

Other Skills

PythonPython (Programming Language)SQLTableauAdobe AnalyticsFeature EngineeringMicrosoft PowerPointExtract, Transform, Load (ETL)Data TransformationGitHubWorkbenchEconometricsMicrosoft ExcelProblem SolvingMySQL

About

Dynamic data science professional with 4+ years of hands-on experience leveraging Python, Tableau, SQL, and Excel to deliver high-impact insights and solutions. Passionate about solving real-world problems through data-driven strategies and continually expanding expertise by exploring emerging technologies and the evolving field of AI . Known for analytical thinking, creative problem-solving, fast solution delivery, and driving transformative outcomes in dynamic environments.

Experience

5 yrs 3 mos
Total Experience
5 yrs 3 mos
Average Tenure
5 yrs 3 mos
Current Experience

Exl

3 roles

Manager

Jul 2025Present · 10 mos

Consultant - II

Jul 2022Jun 2025 · 2 yrs 11 mos

  • Assumed full responsibility for critical project modules, driving their deployment to production and serving as the primary contact for troubleshooting and technical support throughout lifecycle.
  • Provided guidance and training to junior analysts, fostering professional growth and ensuring consistency in project standards across the team.
Data AnalysisPython

Consultant-I

Dec 2020Jun 2022 · 1 yr 6 mos

  • Conceived and executed a tool for Bank Statement analysis, streamlining the identification and classification of transactional patterns, which enhanced risk assessment processes by leveraging alternative data inputs.
  • Applied Python-based natural language processing methods to perform advanced text analytics, converting unstructured transactional records into actionable business categories.
  • Transformed raw transaction entries into reconstructed financial reports, calculating essential metrics such as Revenue, EBITDA, DSCR, and monthly debt obligations.
  • Developed and extracted over 2,000 new analytical features including account usage, financial ratios, risk signals, business metrics, and volatility measures, which led to a notable 15% gain in the Gini index of our risk evaluation models.
  • Assembled interactive data visualizations in Tableau for senior leadership teams, allowing them to track performance indicators and uncover trends from non-traditional data origins
Python (Programming Language)SQLData Analysis

Nabard - national bank for agriculture and rural development

Summer Intern

Jun 2019Jul 2019 · 1 mo · Dehradun

Education

Indian Institute of Technology, Roorkee

Master's degree — Economics

Jan 2018Jan 2020

Delhi University

BSc(Hons) — Mathematics

Jan 2014Jan 2017

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