Headline

AI Analyst Intern @ Impact Analytics | M.Tech Data Science @ VIT | Python | SQL | Power BI | Machine Learning | Deep Learning | Open to Data Analyst & AI Engineer Roles

About

Hi, I'm Chitrala Venkata Krishna — an M.Tech Data Science student at VIT who likes turning messy data into decisions people can act on. Right now, I'm an AI Analyst Intern at Impact Analytics, where I work with the Customer Success team to understand client requirements and support business workflows through data. My day-to-day spans the full pipeline — ingesting and wrangling data using SQL and GCP BigQuery, running exploratory analysis to catch patterns and anomalies in large datasets, and building optimized derived tables for faster, more reliable access. I also define and track business KPIs aligned with client goals, and build dashboards in Looker Studio, Tableau, and Excel that stakeholders actually use to make decisions. Before this, I interned with IBM SkillsBuild and SmartBridge, working across AI, cloud, and full-stack development. Tools I work with: Python, SQL, PostgreSQL, BigQuery, Power BI, Looker Studio, Tableau, Machine Learning, Deep Learning, Pandas, NumPy, Scikit-learn, Git, Streamlit. I'm actively looking for full-time roles as a Data Analyst, AI Engineer, Machine Learning Engineer, or BI Analyst — ideally somewhere I can keep building things that turn data into real business decisions. Open to a chat about data, AI, or opportunities — feel free to reach out.

Location

Bengaluru

AI stack

claude code

ChatGPT

ChatGPT Images

OpenAI Playground

Work experience

AI Analyst Intern at Impact Analytics, Oct 2025 - Apr 2026 · 7 mos, Bengaluru

AI Analyst Intern at Impact Analytics, Oct 2025 - Apr 2026 · 7 mos, On-site, • Worked with the Customer Success team to understand client requirements and support business workflows using data • Performed data ingestion, data wrangling, and data cleaning using SQL and GCP BigQuery to improve data quality • Conducted Exploratory Data Analysis (EDA) to identify patterns, inconsistencies, and anomalies in large datasets • Built derived tables and optimized queries for better performance and faster data access • Created and tracked business KPIs aligned with client product needs • Developed dashboards and data visualizations using Looker Studio, Tableau, and Excel, and collaborated with stakeholders to drive business decisions

Intern at IBM skillsbuild, Jun 2024 - Jul 2024 · 2 mos, Completed a 4-week internship on Emerging Technologies (AI & Cloud Computing) through IBM SkillsBuild. Gained hands-on experience in AI model development, cloud computing, and data-driven solutions using IBM Cloud services.

Intern at THE SMARTBRIDGE, Jun 2024 - Jul 2024 · 2 mos, Designed and developed a secure and scalable banking web application using the MERN stack, implementing key banking features. Developed and fine-tuned RESTful APIs for essential banking operations, improving transaction efficiency while implementing strong security protocols for authentication, account handling, fund transfers, and transaction monitoring.

Education

Mtech integrated computer science and engineering with specialization Data Science, Vellore Institute of Technology

INTERMEDIATE, MPC, Sri Chaitanya College of Education