Summary
Overview
Work History
Education
Skills
Websites
Projects
Languages
Timeline
Generic

Sahithi Vittal

Data Analyst | Transforming Data into Actionable Insights
Hyderabad

Summary

Passionate Data Analyst with a strong foundation in statistics and business intelligence. Skilled in building predictive models, optimizing data pipelines, and delivering insights to drive data-backed decision-making and business growth.

Overview

1
1
year of professional experience

Work History

Junior Lecturer, Mathematics

Sri Chaitanya Junior Kalasala
Hyderabad
04.2023 - 04.2024
  • Delivered comprehensive mathematics instruction, enhancing student understanding and performance.
  • Provided individualized support to students, improving academic outcomes.
  • Attended professional development workshops to refine teaching strategies.

Education

Post Graduate Program - Data Science and Engineering

Great Lakes Institute of Management
Hyderabad,Telangana
03.2025

Bachelor of Science - Statistics

Stanley Degree And PG College For Women
Hyderabad,Telangana
07.2022

Skills

  • Programming: Python (Pandas, NumPy), SQL
  • Data Analysis: Data Cleaning, Exploratory Data Analysis (EDA), Feature Engineering, Statistical Analysis
  • Machine Learning: Predictive Modeling, Classification, Clustering, PCA, Customer Segmentation
  • Visualization: Tableau, Matplotlib, Seaborn, Excel (Advanced)
  • Tools: Google Colab, Jupyter Notebook
  • Soft Skills: Problem-solving, Analytical thinking , Time management, Communication

Projects

Customer-Centric Brand Strategy: Leveraging Analytics for Myntra

  • Analyzed Myntra’s customer ratings to assess brand perception and satisfaction.
  • Developed a classification model to identify key rating influencers.
  • Provided data-driven recommendations to optimize product offerings.

                                                                       

Predicting Health Camp Engagement in Healthcare

  • Processed patient data, health camp records, and attendance for predictive analysis.
  • Performed EDA and feature engineering to enhance model accuracy.
  • Built machine learning models to forecast engagement and optimize resource allocation .

  

Economic & Health-Based Country Segmentation

  • Analyzed economic and health data across multiple countries.
  • Applied PCA and K-Means Clustering to identify development patterns.
  • Derived insights to support policy decisions and economic strategies

Languages

  • English, Telugu, Hindi

Timeline

Junior Lecturer, Mathematics

Sri Chaitanya Junior Kalasala
04.2023 - 04.2024

Post Graduate Program - Data Science and Engineering

Great Lakes Institute of Management

Bachelor of Science - Statistics

Stanley Degree And PG College For Women
Sahithi VittalData Analyst | Transforming Data into Actionable Insights