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Vamsi Tallapudi - Data Scientist/Data Engineer | Senior Systems Engineer

📧 Email: [email protected] ☎️ Contact Number: (+91) 9701668777
🌐 Social Profiles: LinkedIn | GitHub | Resume

Objective

Results-driven data professional with expertise in data science and analytics. Passionate about applying innovative solutions to contribute to a forward-thinking company's success in data science and engineering domains.

Experience

Senior Systems Engineer and Product Analyst

Cognizant Technology Solutions - Supporting Medidata Solutions | Bangalore, Karnataka | December 2021 – Present

  • Implemented cloud-based solutions with Python, Excel, SQL, and MongoDB Compass for efficient Clinical data management and cleaning, and classification using ML algorithms.
  • Delivered impactful presentations to stakeholders and clients, which played a crucial role in various instances.
  • Addressed issues related to (ECRF complexities, URLs, reports) with data collected promptly, showcasing proactive problem-solving skills.
  • Participated with all SDLC phases (Agile, Waterfall) in Scrums, ensuring efficient data management and successful project delivery; developed impactful data-driven presentations for client meetings and supported team onboarding.

Data Science Intern

Innomatics Research Labs | Hyderabad, Telangana | Feb 2023– June 2023

  • Displayed proficiency in Python Problem Solving, Streamlit Application Development, and Flask Backend Application Development.
  • Exhibited a strong work ethic and dedication to delivering quality work during the internship, showcasing a deep understanding of data science concepts.

Skills

Data Skills
Data analysis and Warehousing Storytelling
Statistical analysis Pattern Recognition
Hypothesis testing Prompt Engineering
Time Series Analysis
Technical Skills
Languages Python
Libraries Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, etc
DBMS languages(SQL and NOSQL) SQL (MySQL, PostgreSQL), NoSQL: MongoDB, Cassandra, IBM Cloudant
SDLC Methodologies Agile, Scrum, Waterfall
Data Analysis & Visualization Data mining, Statistics (Descriptive and Prescriptive), EDA, Power BI, Tableau, Excel, PowerPoint
Machine Learning Feature Selection and Extraction, NLP, Computer Vision, Regression Analysis, Classification
Big Data Technologies Apache Hadoop, Apache Spark, MapReduce, HDFS, Data Warehousing, ETL, Data Pipelines
Cloud Fundamentals and Version Control Git (Basic Usage)
Shell Scripting Bash (Unix Shell)
Operating Systems Linux, Windows
Personal Skills
Effective Communication Problem-Solving
Adaptability Time Management
Negotiation Attention to Detail
Critical Thinking Leadership
Teamwork Conflict Resolution
Active Listening Decision Making
Self-Motivation Positive Attitude
Flexibility Patience
Open-Mindedness Self-Confidence
Continuous Learning Technology Adoption
Composure Under Pressure

Education

  • Master of Technology (MTech) in Artificial Intelligence and Data Science

    • Kakinada Institute of Engineering and Technology, Kakinada (2024)

  • Bachelor of Technology (BTech) in Electrical and Electronics Engineering

    • Aditya College of Engineering, Surampalem(2021)

  • Technical Diploma in Electrical and Electronics Engineering

    • Polytechnic College, Anaparthi (2018)

Professional Certifications

Projects

Personal Details

Full Name Vamsi Surya Chandra Durga Phani Prasad Tallapudi
Father's Name Hari Satyanarayana
Date of Birth 09-April-2000
Languages known English,Telugu and Hindi
Current Address 10-60, Panchayat Street, Bikkavolu, E G district, Andhra Pradesh, 533343

vamsitallapudi9's Projects

data-science-project icon data-science-project

Data science projects: 1) Prediction of Score for Public Scores in California and 2) Sentiment Analysis of Movie Reviews using a Deep Learning Convolutional Neural Network

machine_learning_complete icon machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

music-store-sales-and-customer-data-analysis icon music-store-sales-and-customer-data-analysis

The SQL music store database contains tables for managing the inventory of a music store, such as employees, customers, invoices, tracks, genres, and artists. By querying this database, we can obtain insights into various aspects of the music store's operations, such as sales by country, top-selling genres, and employee performance.

pandas icon pandas

Data & Code for my video on the Pandas library of Python

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