Headline

Data Scientist / Data Analyst | Python, SQL, Machine Learning, EDA, Predictive Modeling | Power BI & Streamlit Dashboards | NLP & RAG Applications | Turning Data into Business Insights

About

I’m an AI & Data Science graduate passionate about solving real-world problems using data. My work focuses on data analysis, machine learning, and building end-to-end analytics systems that help organizations understand their data and make smarter decisions. I work primarily with Python, SQL, Power BI, and machine learning tools to perform exploratory data analysis, build predictive models, and develop dashboards that translate complex datasets into clear insights. Through my internships in Data Science and AI, I gained hands-on experience working with real-world datasets and analytics workflows. I built machine learning models for classification and regression, engineered ETL pipelines that reduced data preparation time by 35%, and developed interactive dashboards using Power BI and Streamlit for business teams. I also applied NLP techniques to analyze customer feedback data, extracting insights that could support product and customer experience improvements. I also enjoy building practical data projects. From developing a RAG-based AI research assistant using LangChain and FAISS to creating automated analytics platforms that generate EDA reports and visualizations from uploaded datasets, I focus on combining data engineering, analytics, and machine learning into usable solutions. Currently, I’m looking for opportunities as a Data Scientist or Data Analyst where I can apply my skills in data analysis, machine learning, and business intelligence to deliver real-world impact. Always open to connecting with professionals in Data Science, Analytics, and AI.

Location

Bengaluru

AI stack

claude

deepseek

github copilot

openai

perplexity

ChatGPT

Work experience

Data Science Intern at Aislyn Technologies Pvt Ltd, Jul 2025 - Feb 2026 · 8 mos, Bengaluru, Karnataka, India, Built and optimized supervised machine learning models (classification & regression) using Python and Scikit-learn; improved model performance through feature engineering and cross-validation. Designed end-to-end data preprocessing pipelines handling large structured datasets– including cleaning, transformation, normalization, and validation for ML workflows. Performed in-depth exploratory data analysis (EDA) using statistical methods to identify trends, outliers, and correlations, delivering actionable business insights. Developed interactive Power BI and Python-based dashboards to visualize model outputs and analytics for non-technical stakeholders. Queried, joined, and analyzed structured enterprise data using SQL to support reporting, cohort analysis, and downstream ML pipelines

Data Science & AI Intern at Compsoft Technologies, Nov 2024 - May 2025 · 7 mos, Bengaluru, Karnataka, India, Engineered a Streamlit-based AI application for real-time food recognition and personalized taste stimulation. Utilized OpenCV and image processing to classify food types and predict salt levels for dietary adaptation. Performed consumer behavior analytics and built interactive dashboards using Plotly to guide product strategy. Implemented NLP-driven sentiment analysis to extract insights from user feedback and optimize user experience.

Data Analyst Intern at Learntricks, Oct 2024 - Nov 2024 · 2 mos, Remote, Worked on an e-commerce Amazon sales data analysis project, leveraging data visualization and analytical techniques to derive key business insights.

Web Development Intern at MotionCut, Nov 2023 - Dec 2023 · 2 mos, Remote, Front-End Development: Designed and developed highly responsive user interfaces using JavaScript and React, ensuring optimal user experience across all devices. Implemented advanced responsive design techniques, maintaining accessibility and usability on various mobile and desktop devices. Created dynamic and engaging content for diverse themes, including e-commerce platforms and blogs, enhancing overall site functionality and user engagement. Back-End Development: Architected and developed robust server-side logic and APIs using Node.js, ensuring smooth and efficient data flow between front-end and back-end systems. Integrated and managed complex databases, facilitating seamless data retrieval, storage, and management processes. Implemented stringent security protocols and data protection measures, safeguarding sensitive user information and ensuring compliance with industry standards

Education

Bachelor of Engineering - BE, Artificial Intelligence and Data Science, Don Bosco Institute of Technology (DBIT), Bengaluru

Public links

github: https://github.com/Erikston