Summary
Work history
Skills
Education
Languages
Affiliations
References
PROJECTS
Generic
Ankit Sharma

Ankit Sharma

#728,Ph-7,Sec-61,S.A.S. Nagar Mohali,Punjab,India

Summary

Seeking challenging environments that encourage continuous learning and growth, while contributing effective and thoughtful solutions to organizational or societal problems. I have over two years of experience in analytics, with a focus on extracting actionable insights, strengthening data reliability, and supporting informed decision-making.

Work history

Product Business Analyst

Restroworks
Delhi, India
2025.05 - 2025.12
  • Completed structured onboarding on a B2B SaaS restaurant operations platform gaining deep functional knowledge of POS, billing, inventory and reporting modules.
  • Led the successful integration and delivery of Uber Direct and Rapido APIs, improving operational efficiency and enabling real-time order tracking and fulfillment.
  • Developed detailed user documentation, process flow diagrams, and training guides that enhanced product adoption and reduced onboarding time for internal and client teams.
  • Analysed user feedback to enhance product features and improve user experience.

Data Analyst

AptEdge
Remote
2023.10 - 2025.01
  • Developed a black-box semantic consistency evaluation framework using Sentence-BERT to measure semantic variance across clusters of naturally occurring, semantically equivalent user queries, enabling detection of unstable response behaviour indicative of hallucinations.
  • Analyzed product usage data to identify behavioural patterns and trends, supporting data-informed decisions related to customer retention and platform improvement.
  • Designed and implemented data integrations across multiple client knowledge bases, including Atlassian, Salesforce, and external web sources, to enable unified analytical workflows.
  • Implemented automated data quality and integrity checks using Sentry and Airflow, improving consistency and reliability of production analytics pipelines.
  • Designed and maintained SQL-based analytical dashboards in Metabase to support exploratory analysis and KPI monitoring by Customer Success teams.
  • Conducted a platform-wide data completeness and observability analysis by comparing backend query logs with dashboard-level data, revealing a previously unnoticed and consistent ~25% under-representation of queries across clients and surfacing a systemic data visibility issue.
  • Reference :- Aakrit Prasad(Co Founder and CEO) Mobile No. +1 (419) 356-2216

Data analyst intern

Egis India Pvt Ltd.
Chandigarh, India
2022.11 - 2023.03
  • Analyzed municipal waste collection data across targeted areas of Chandigarh and developed visual analytics to study spatial distribution and operational patterns.
  • Used route-level visualizations to assess the efficiency of existing waste collection routes and garbage truck deployment, identifying opportunities for operational improvement.
  • Examined area-wise distribution of waste types to support data-informed strategies for improved waste segregation and management.
  • Designed and administered structured surveys as part of the Swachh Sarvekshan initiative, collecting and organizing data across multiple institutions to support cleanliness and sanitation assessments.
  • Reference :-Ravish Kumar(Deputy General Manager) +91 9417912810

Skills

  • Languages: Python, SQL
  • Libraries: pandas, NumPy, Matplotlib, sklearn, SciPy
  • BI Tools: PowerBI, Tableau, Metabase,MS Excel,Google Sheets
  • Developer Tools: Git, Docker, VS Code, Jupyter Notebook
  • Metrics and kpis establishment

Education

B. Tech. - Computer Science

Chitkara University
Rajpura, Punjab
2019.08 - 2023.07

Senior Secondary Examination

GMSSS - 35 D
Chandigarh,India
2018.03 - 2019.03

Matriculation

St. Joseph's Sr. Sec. School
Chandigarh,India
2015.03 - 2016.03

Languages

Hindi
Native
English
Upper intermediate (B2)
Japanese
Beginner (A1)
Punjabi
Advanced (C1)

Affiliations

  • Reading(Mostly Fiction)
  • Writing(Fanfics or Fictional writing)
  • Football, Taekwondo
  • Video Games(Mostly JRPGs)

References

References available upon request.

PROJECTS

  • Book Recommendation System

Designed and implemented a content-based recommendation engine using Python and machine learning techniques. The project focused on data preprocessing, similarity computation, and evaluating recommendation relevance.

GitHub Repository- https://github.com/AnkitSharma0358/Book-Reccomender

  • New York Taxi Fare Prediction

Conducted an end-to-end regression analysis on large-scale New York City taxi trip data to study fare prediction. Applied exploratory data analysis to diagnose data quality issues, removed invalid observations, and trained predictive models on cleaned datasets. Emphasis was placed on understanding feature–target relationships and evaluating model performance under real-world data variability. The model performance was evaluated using RMSE and baseline and improved models were compared.

GitHub Repository - https://github.com/AnkitSharma0358/New-York-Taxi-Fare-Predictor

Ankit Sharma