Manasa Parampogu profile photo 1 on Tal

Manasa Parampogu

Data Scientist Intern @AI Variant | Passionate Machine Learning & Data Science Enthusiast | Python | Actively looking for Data Science Opportunities

Bengaluru

< 1 year of work experience

Ai Variant
Sep 20257 mosMar 2026

Bengaluru, Karnataka, India

• Built and evaluated machine learning models, improving prediction performance by 15%. • Performed data preprocessing and feature engineering, enhancing data quality by 25%. • Analyzed datasets and generated insights to support data-driven decision making.
Ai Variant
Sep 20257 mosMar 2026

• Built classification and regression models using Python, Pandas, and Scikit-learn; improved model accuracy by 15% through feature engineering and hyperparameter tuning. • Cleaned and preprocessed structured datasets with 10,000+ records by handling missing values, outliers, and class imbalance, improving model performance by 25%. • Performed exploratory data analysis to identify key patterns and trends, helping improve feature selection and model performance. • Built and evaluated ML models using precision, recall, and F1-score metrics.
Plasmid Innovation Private Limited
Aug 20243 mosOct 2024

•Built and deployed 3 machine learning pipelines, cutting data processing time by 30% •Optimized models using NumPy and Scikit-learn, reducing runtime by 25% •Engineered end-to-end data workflows for predictive modeling on business datasets

Manasa’s AI Stack

hugging face
hugging face
langchain
langchain
ollama
ollama
openai
openai

Education

Madanapalle Institute of Technology & Science

Bachelor of Technology, Computer Engineering

Madanapalle Institute of Technology & Science

20214 yrs2025

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Headline

Data Scientist Intern @AI Variant | Passionate Machine Learning & Data Science Enthusiast | Python | Actively looking for Data Science Opportunities

About

I am a Computer Science graduate with a strong interest in data science, machine learning, and data-driven problem solving. My journey into data science began with a curiosity about how data can be transformed into meaningful insights that help solve real-world problems and support better decision-making. During my learning and project experience, I have worked on building machine learning models, performing exploratory data analysis, and developing data-driven solutions using Python and modern data science tools. I have completed internships in Machine Learning and Data Science, where I worked on model development, evaluation, and data preprocessing techniques. I have also worked on projects such as Spam News Detection using Natural Language Processing, Customer Segmentation using Clustering Algorithms, and Resume Classification System where I applied techniques like TF-IDF, classification models, clustering algorithms, and data visualization to extract insights from data. Through these experiences, I have developed practical skills in: • Python for data analysis and machine learning • Exploratory Data Analysis (EDA) and data preprocessing • Machine learning model development and evaluation • Natural Language Processing techniques • Data visualization and interpretation I enjoy continuously learning new tools and technologies in the data science ecosystem and applying them to solve real-world analytical challenges . My goal is to grow as a data professional who can transform raw data into actionable insights and intelligent solutions, while contributing meaningfully to organizations that rely on data-driven innovation.

Location

Bengaluru

AI stack

hugging face

langchain

ollama

openai

Work experience

Data Scientist at Ai Variant, Sep 2025 - Mar 2026 · 7 mos, Bengaluru, Karnataka, India, • Built and evaluated machine learning models, improving prediction performance by 15%. • Performed data preprocessing and feature engineering, enhancing data quality by 25%. • Analyzed datasets and generated insights to support data-driven decision making.

Data Science Intern at Ai Variant, Sep 2025 - Mar 2026 · 7 mos, • Built classification and regression models using Python, Pandas, and Scikit-learn; improved model accuracy by 15% through feature engineering and hyperparameter tuning. • Cleaned and preprocessed structured datasets with 10,000+ records by handling missing values, outliers, and class imbalance, improving model performance by 25%. • Performed exploratory data analysis to identify key patterns and trends, helping improve feature selection and model performance. • Built and evaluated ML models using precision, recall, and F1-score metrics.

Machine Learning Intern at Plasmid Innovation Private Limited, Aug 2024 - Oct 2024 · 3 mos, •Built and deployed 3 machine learning pipelines, cutting data processing time by 30% •Optimized models using NumPy and Scikit-learn, reducing runtime by 25% •Engineered end-to-end data workflows for predictive modeling on business datasets

Education

Bachelor of Technology, Computer Engineering, Madanapalle Institute of Technology & Science