Ruchi Bhadauria
Data Analyst Professional
PROFESSIONAL SUMMARY
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High-calibre Data Analyst Professional with over 3 years of experience in data analysis,
process optimization, strategic reporting and drive business growth.
Proficient in collecting, processing, and interpreting complex datasets to uncover
actionable insights that drive business decisions and optimize performance.
Adept at turning complex data into strategic recommendations, supporting business
growth and operational efficiency through advance BI tools.
Well-versed in cleaning and validating large datasets to maintain accuracy, integrity, and
reliability, reducing data errors by significant margins.
CONTACT INFORMATION
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Phone
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Email-
WORK EXPERIENCE
LinkedIn
in - Ruchi Bhadauria
Address
Gurugram, Haryana, India
SKILLS
Machine Learning (ML)
Data Cleaning and Wrangling
Data Integrity and Quality
Assurance
Stakeholder Communication
Statistical Analysis
Exploratory Data Analysis (EDA)
Natural Language Processing (NLP)
Chatbot Development
Technical Documentation
Dashboard Development
Leadership and Team Management
Forecasting and Trend Analysis
Web Development
Process Improvement
Project Management
TECHNICAL SKILLS
Data Analysis and Visualization:
Power BI, Tableau, Python (NumPy,
Pandas, Matplotlib), SQL (MySQL),
Advance Excel
Programming and Development:
Python, JavaScript, PHP, HTML, CSS
Cloud Computing and Platforms:
Microsoft Azure, Google Cloud
Platform (GCP), Dialogflow
Database Management: MySQL,
SQL
EDUCATION
Integrated B.Tech-M.Tech in
Biotechnology
2016 – 2022
University of Rajasthan
ADDITIONAL INFORMATION
Language Proficiency: English and
Hindi
Business Analyst
Oct 2023 – Sep 2024
EXL
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Collaborated with project managers and cross-functional teams to identify and deliver
actionable insights using advanced data modeling and KPIs, and enhancing operational
efficiency by 25%.
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Designed and developed interactive Power BI dashboards and custom SQL-driven
reports, addressing client-specific requirements and significantly improving
responsiveness, enhancing data visualization capabilities.
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Automated data analysis workflows using Python scripts, optimizing data pipelines to
reduce manual effort, and cutting data refresh cycle times by 30%.
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Facilitated stakeholder training to elevate analytics literacy, focusing on self-service BI
tools and advanced reporting features, drive a 15% increase in client satisfaction.
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Identified and resolved bottlenecks in data workflows through root cause analysis (RCA)
and process re-engineering, achieving timely delivery of critical insights.
Data Analyst
Sep 2022 – Aug 2023
Dhruv Research
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Managed and cleaned millions of rows of data using advanced data cleansing
techniques, achieving a 99% accuracy rate and implementing quality control protocols
that reduced data errors by 20%.
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Streamlined exploratory data analysis (EDA) leveraging SQL and Python libraries such as
Pandas and Matplotlib, uncovering actionable insights.
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Partnered with leadership to create dynamic dashboards using Tableau enabling realtime decision-making and accurately predicting election results within a 2% error margin.
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Enhanced automated ETL pipelines using Python and SQL for data ingestion,
transformation, and validation, cutting processing times by 40% and improving data
availability for analytics.
Data Analyst
Apr 2022 – Aug 2022
FN Mathlogic
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Initiated and deployed a chatbot using Google's Dialogflow, integrated with Google
Cloud Functions for serverless architecture, optimizing client query resolution workflows
and reducing response time by over 50%.
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Utilized advanced NLP pipelines to build a resume parser, automating data extraction
of critical fields like candidate names and work experience, enhancing operational
efficiency and scalability in HR processes.
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Provided client training on Azure SQL to enhance data literacy, improving user
adoption and empowering clients to independently manage their SQL queries and
reporting workflows.
Bioinformatics Intern
Jul 2021 – Jan 2022
Eminent Biosciences
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Performed data mining and data preprocessing on pancreatic cancer inhibitor datasets
from the NIH database using Pandas and NumPy, developed predictive ML models
leveraging molecular descriptor data, and created interactive dashboards using
Matplotlib.
Web Developer Intern
Dec 2020 – Jun 2021
MNIT
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Implemented a dynamic, responsive web application with HTML5, CSS3, and JavaScript,
integrating PHP for server-side scripting and MySQL for database management.
