ANAY RASTOGI
|+918851719732 | anay007.rastogi@gmail.com | GitHub | LinkedIn |
Recent graduate with 8 months of internship experience in data analysis. Seeking a challenging role in data
science and analytics where I can leverage my skills and contribute effectively to organizational objectives.
WORK EXPERIENCE
INTERN | OLX March 2024-Current
Utilizing SQL, Excel, and Google Sheets for advanced data extraction and analysis, providing actionable insights for OLX's BI team.
Collaborating closely with the BI team to develop data-driven solutions, analyzing complex datasets, identifying the key trends, and
contributing to strategic decision-making, thereby enhancing business performance.
Leveraging Google Studios and Python for data visualization and extraction, enhancing reporting and analytical capabilities.
Nov 2022-Jan 2023
DATA ANALYST INTERN | MEDTECHMATCHER
Collaborated with a medical equipment website to gather and organize pricing data from various online sellers, ensuring accuracy and
comprehensive coverage.
Utilized programming tools and libraries to scrape and extract data from diverse web sources, enhancing data aggregation capabilities.
Used Excel for data cleaning, manipulation, and organization, facilitating insightful analysis and the presentation of actionable insights.
PROJECTS
KPI Analysis | OLX
Analyzed key performance metrics and trends for top cities, car brands, and active dealers to assess health and performance.
Collaborated with the MIS team to calculate new incentives for sales teams and evaluated the performance of new geographical markets.
Conducted franchise retention analysis by extracting and assessing city-wise data to gauge the health and performance of OLX franchises
over a three-month period.
BUSINESS ANALYSIS | Excel, Tableau, PowerBI (LINK)
Utilized excel and Tableau for real-time data analysis, revealing insights into inventory management, customer preferences, and service
performance for a Delhi-based garage.
Identified inefficiencies, leading to recommendations for process improvements, resource optimization, and better customer satisfaction.
Applied data-driven strategies to boost efficiency and profitability, showcasing analytics' impact on business growth in the automotive industry.
USER BEHAVIOUR PREDICTION | Machine Learning Prediction Model (LINK)
Leveraged Python libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib to conduct comprehensive data cleaning, feature engineering,
and data visualization, setting a solid foundation for insightful analysis.
Developed a sophisticated machine learning model to analyze user behavior and preferences, enabling targeted and personalized marketing
offers tailored to individual customer needs and preferences.
TECHNICAL SKILLS
CODING LANGUAGES: PYTHON (NUMPY, PANDAS, SCIKIT-LEARN), R ,SQL, C++
DATA ANALYSIS TOOLS: EXCEL, TABLEAU, GOOGLE DATA STUDIO, RAPIDMINER
DATA VISUALIZATION: POWERBI, SEABORN, MATPLOTLIB, PLOTLY Responsibilities:
Gathers operational data from various cross functional stakeholders to examine past business performance
Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies
DATA ETL :
May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
INFORMATICA, TALEND
Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and
escalating, managing and reporting control issues with transparency
MACHINE LEARNING: PYTORCH,CLASSIFICATION, REGRESSION
DATA RESEARCH: DATA MINING,DATA CLEANING
EDUCATION
BACHELOR OF TECHNOLOGY, (CGPA: 8.3) 2020-2024
(GURU GOBIND SINGH INDRAPRASTHA UNIVERSITY, DELHI)
DIPLOMA IN DATA SCIENCE, Machine Learning and Data Analytics (LINK) 2021-2023
(part time diploma from IIT MADRAS)
FOUNDATIONAL CERTIFICATE IN PROGRAMMING (LINK) 2020-2021
(INDIAN INSTITUTE OF TECHNOLOGY, MADRAS)
SENIOR SECONDARY, Science (PCM) (83%) 2018-2019
(SLS DAV PUBLIC SCHOOL, DELHI)
SECONDARY, (CGPA: 9.6) 2016-2017
(HAPPY SCHOOL, DELHI)
