Headline

Ex-Intern @ Futurense | Contributor @ GSSoC 2025 | B.Tech CSE @ LPU’26| Open Source Contributor | AI • ML • AgenticAI • SQL

About

I’m an AI Engineer with a strong foundation in machine learning, computer vision, and data science, focused on developing intelligent, production-ready AI solutions. I bring hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, and Flask, along with a deep understanding of model development, data preprocessing, and deployment pipelines. My strength lies in combining analytical thinking with practical implementation — transforming data into scalable models that deliver measurable business impact. I’m passionate about applied AI, generative technologies, and continuous learning in the rapidly evolving field of artificial intelligence. I’m seeking opportunities where I can contribute to AI product development, model optimization, and data-driven decision-making, while collaborating in innovative, research-oriented environments.

Location

Jaggayyapeta

AI stack

gemini

hugging face

langchain

openai

Work experience

Data Analyst Intern at Futurense Technologies, Jun 2024 - Aug 2024 · 3 mos, Bengaluru, Karnataka, India, Analyzed 30,000+ call records from the US Pathways dataset to identify 7+ lead indicators (call duration, lead score, squad role), informing targeted outreach strategies. Designed 10+ interactive visualizations (heatmaps, pair plots, bar graphs) to track representative performance and call activity, improving visibility into team efficiency. Built reproducible ETL and analysis pipelines in Python (Pandas, NumPy) and applied correlation mapping and preliminary lead-behavior models using Scikit-learn.

Education

Bachelor of Technology - BTech, Artificial Intelligence and Data Engineering, Lovely Professional University

Public links

github: https://github.com/Sharanya-Vemula