Summary
Overview
Work history
Education
Skills
Websites
Certification
Projects
Publication & Research
Timeline
Generic

Chaitali Sawant

Cheltenham,United Kingdom

Summary

Insight-driven Data Analyst with 7+ years of experience delivering analytical products and data insight services to support insight-led decision making, planning, and service improvement. Experienced in working within multi-disciplinary, user-centred, agile environments, partnering closely with stakeholders to translate complex data into clear, actionable insight for non-technical audiences. Strong background in data management, data visualisation, statistical analysis, data quality, and governance, with proven ability to manage competing priorities and deliver high-quality analytical outputs to agreed timescales. Ambitious about improving data literacy, adopting pragmatic approaches, and supporting evidence-based transformation through digital service initiatives. Innovative thinker with a commitment to professional development and professionalism in all aspects of work.

Overview

8
8
years of professional experience
5
5
years of post-secondary education
1
1
Certification

Work history

Data Analyst

Tata Consultancy services
Mumbai
01.2017 - 12.2024
  • Delivered robust analytical products and insight services to support insight-led decision making, operational planning, and performance monitoring across business and clinical research teams.
  • Worked closely with stakeholders across multiple functions to understand requirements, co-producing user-centred analytical solutions aligned to organisational priorities by applying project methodologies and service design principles.
  • Applied analytical techniques, including statistical analysis, trend analysis, and pattern identification to complex datasets, synthesising findings into clear, actionable insights for non-technical audiences.
  • Designed and maintained data visualisation dashboards in Power BI and Tableau, applying best practices to communicate complex findings clearly and effectively.
  • Ensured high standards of data quality and data governance, monitoring data issues, validating datasets, and supporting interoperability and reuse of data across systems in compliance with digital strategy.
  • Managed SQL queries, ETL processes, and data models to improve data reliability, performance, and accessibility, responsibly adhering to process design.
  • Planned and organised own analytical workload, successfully delivering outputs to agreed quality standards while managing competing priorities and challenging timescales with timely delivery.
  • Supported data literacy and personal development initiatives by providing informal training and guidance to colleagues, encouraging confident use of data and insight.
  • Contributed to continuous improvement and innovative ways of working, supporting agile practices, and testing of software systems within the analytics function.

Data science intern

Aparito Ltd
06.2023 - 12.2023
  • Supported analytical and research projects focused on healthcare data and patient monitoring.
  • Applied statistical and machine-learning techniques to analyse structured and unstructured datasets, embedding analytical insights to enhance forecasting capabilities.
  • Communicated analytical findings clearly to clinicians and technical stakeholders, supporting insight-led improvements to workflows.
  • Contributed to model development and evaluation, improving prediction accuracy and analytical robustness.

Education

MSc - Data science

University of Gloucestershire
09.2022 - 07.2024

Bachelor of science - Information technology - BSC IT

University of Mumbai
06.2013 - 03.2016

Skills

  • Data analysis, statistical analysis, trend & pattern identification
  • Insight-led reporting and dashboards
  • Data visualisation (Power BI, Tableau)
  • SQL querying and Python analytics
  • ETL processes and data modelling
  • Data quality monitoring and governance
  • Stakeholder engagement and requirements gathering
  • Communicating complex findings to non-technical audiences
  • Agile, user-centred ways of working
  • Managing competing priorities and deadlines

Certification

  • AWS Certified Cloud Practitioner.
  • Oracle Database 12c: SQL Fundamentals (1Z0-071).
  • IELTS Academic.
  • SAS programming BASE certification course(udemy).
  • Introduction to Statistics(IBM coursera).
  • Generative AI:Prompt Engineering Basics(IBM coursera).
  • ETL & data pipelines with shell,airflow and kafka(IBM coursera).

Projects

Project 1: Speech-to-Text AI System for Smart Assistants, Technologies: Python, Flask, PyTorch, OpenAI Whisper, Wav2Vec2, Docker, AWS, JavaScript, Developed an AI-powered speech-to-text system using Whisper and Wav2Vec2 models for real-time transcription., Created an interactive web app for users to record voice commands and receive instant transcriptions., Deployed the system on AWS with Docker for scalability and cloud integration., Integrated voice command recognition for smart assistants, enabling hands-free interaction., Model Comparison: Whisper achieved better accuracy (WER: 10.2%) but slower speed (15s/60s audio) compared to Wav2Vec2 (WER: 12.5%, Speed:10s/60s), making Whisper ideal for accuracy and Wav2Vec2 for low-latency tasks., Project 2: Stroud Valleys Dipper Project with University of Gloucestershire, Developed a WordPress website with an interactive mapping system to visualize bird sightings using Leaflet.js for map rendering and Google Maps API for geospatial data integration., Designed and implemented an ETL pipeline using Pandas and SQL for efficient extraction, transformation, and loading of large datasets, resulting in faster data processing. Used QGIS for spatial data analysis and visualization to identify patterns in bird behavior., Key quantifiable measure: Improved data processing efficiency by 40% and reduced data update time by 30%., Project 3: Performing analysis on Crime in UK from year 2014-2018. (Using R), Performed predictive analysis using 5+ models, including Linear Regression, K-means clustering, Hierarchical clustering, k-NN classification, Random Forest classification, and ANOVA, achieving 85% prediction accuracy., Analyzed and visualized 1 million crime records, uncovering key crime trends across regions and years.

Publication & Research

  • Stroud Valleys Dipper Project (Ongoing Research with university of gloucestershire).

Timeline

Data science intern

Aparito Ltd
06.2023 - 12.2023

MSc - Data science

University of Gloucestershire
09.2022 - 07.2024

Data Analyst

Tata Consultancy services
01.2017 - 12.2024

Bachelor of science - Information technology - BSC IT

University of Mumbai
06.2013 - 03.2016
Chaitali Sawant