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Machine Learning Data Science

Location:
Gainesville, FL
Posted:
June 03, 2025

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Resume:

SRI VENKATA MANIKYA PRANEETH VEMPATI

Gainesville, Florida

+1-352-***-**** ********@***.***

SUMMARY

Data Science Intern with extensive hands-on experience in building machine learning models and analyzing complex datasets. Proven track record includes a 50% boost in user engagement and a 40% reduction in response time through inno- vative solutions. Skilled in Python, SQL, data preprocessing, and data visualization, with a strong focus on translating data into actionable insights. Experienced in communicating results effectively to both technical and non-technical audiences. EDUCATION

University of Florida Present

Masters, Artificial Intelligence Systems

• Coursework: AI Systems, Machine Learning, Image Processing, Deep Learning Vellore Institute of Technology - AP Aug 2019 - May 2023 Bachelors, Computer Science and Engineering

WORK EXPERIENCE

SyrenCloud Technologies pvt ltd Jan 2024 - Jun 2024 Data Science Intern Hyderabad, India

• Developed and deployed advanced machine learning models using Python to power a chatbot with large language models, enhancing predictive accuracy and user engagement by 50%.

• Optimized response processes by reducing chatbot response time by 40% and improving data cleaning methods to ensure accurate and complete user interactions.

• Engineered time series forecasting models that improved demand forecasting by 30% and generated cost savings of 15%, utilizing statistical analysis and data preprocessing techniques. Bharat Intern Sep 2023 - Oct 2023

Machine Learning Intern Amaravati, India

• Interpreted complex datasets to extract meaningful insights, constructing supervised and unsupervised models with Python libraries such as Scikit-Learn and TensorFlow.

• Implemented data cleaning and preprocessing techniques to prepare inputs for machine learning workflows, ensuring data quality for model accuracy.

VasysTron Jan 2023 - Jun 2023

Data Analyst Intern Remote

• Initiated and deployed machine learning algorithms in Python and integrated them with HR systems processing over 5,000 resumes monthly, enhancing operational efficiency through effective data cleaning and preprocessing.

• Streamlined candidate evaluation by automating analysis via Flask web deployment, leveraging statistical methods and data visual- ization techniques to improve recruitment efficiency by 40%.

• Enabled data-driven decision-making by meticulously processing and analyzing resume data, leading to a 60% faster hiring cycle and a 35% improvement in quality of shortlisted candidates. IIT-Guwahati Oct 2022 - Nov 2022

Research Intern Guwahati, India

• Led a pioneering project on 'Hand Gesture Recognition' using CNN algorithms, applying advanced statistical and image processing techniques for improved recognition accuracy.

• Executed comprehensive data preprocessing and model validation steps under expert mentorship to ensure robust machine learning model performance.

AIESEC Feb 2021 - Jul 2021

Associate Remote

• Contributed to an international internship initiative by facilitating data-driven insights for candidate matching and career development opportunities.

• Orchestrated a mentorship program connecting over 20 junior professionals with senior leaders, enhancing global networking and enabling informed talent acquisition strategies.

PROJECTS

Medical Image Enhancement and Analysis

• Implemented computational photography techniques to enhance medical images (X-rays, MRIs), applied deep learning (CNN, U-Net) for disease detection, and developed a 3D reconstruction pipeline for improved visualization. LEARN-Match

• Developed a course recommendation website using collaborative filtering and content-based techniques with Python (Flask, Pandas) and React.js, optimizing recommendations through TF-IDF and cosine similarity. WhatsApp Chat Analysis

• Analyzed chat logs with NLP techniques, visualizing insights using Matplotlib and Seaborn to predict user sentiment and mood trends. Movie Recommendation System

• Implemented a recommendation system using collaborative filtering and Flask for backend, enhancing user experience with tailored movie suggestions.

TECHNICAL SKILLS

• Languages: Python, Java, SQL, PySpark, XML, C, C++

• Frameworks: Flask, FastAPI, OpenCV, Django, Angular, React, Node.js

• DevOps: Jenkins, Docker, Red Hat, Git

• Machine Learning Frameworks: TensorFlow, scikit-learn, Streamlit, Pandas, NumPy

• Databases: MySQL, MSSQL, PostgreSQL, MongoDB

• Data Visualization: Tableau, Power BI

• API Development And Testing Tools: Postman

• Operating Systems: Windows, Linux

• Data Analysis: Statistics, Data Cleaning



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