Mahak T. — Data Engineer
I’m Mahak Thakre, a Data Engineer with a strong foundation in AI and data science. I completed my B.S. in Data Science & Programming (IIT Madras) and hold a B.Sc. in Computer Science. I build reliable pipelines, turn messy data into analytics-ready datasets, and ship production solutions that power analytics and AI. In practice that means I’ve worked end-to-end: ingesting large datasets, cleaning and transforming them with PySpark/Databricks, modelling them into Bronze→Silver→Gold layers, and making them available for BI and ML. I focus on data quality, observability, and secure access so downstream models and analysts can trust the results.I’ve also delivered applied AI & web projects, which helps me bridge the gap between data pipelines and model/feature consumption:1. Built and deployed a TB detection pipeline (20K+ chest X-rays) — automated extraction, preprocessing, training and deployment.2. Implemented RAG search and NLP/regex-based chatbots to structure and serve unstructured documents.3. Developed a generative-AI integrated learning portal and several computer-vision and audio-detection projects with strong evaluation metrics.Core strengths1. Data engineering: PySpark, Databricks, Delta Lake, ETL/ELT design, SQL2. Cloud & deployment: Azure, basic AWS experience, Streamlit/Flask for model demos3. ML & AI: model integration, preprocessing, RAG, computer vision & audio detection4. Engineering practices: modular code, pipeline observability, data governance basicsWhat I’m focused on now1. Building production-grade pipelines and datasets for analytics and GenAI use cases2. Strengthening governance, lineage, and data quality practices in lakehouse architectures3. Collaborating with analytics and ML teams to turn models into reliable business featuresIf you’re working on data platform, analytics, or AI projects and want someone who understands both the pipeline and model side, let’s connect. I enjoy practical problem solving, clear system design, and turning prototypes into reliable, maintainable systems.
Stackforce AI infers this person is a Data Engineer with a focus on Healthcare and AI-driven solutions.
Location: Hyderabad, Telangana, India
Experience: 4 mos
Skills
- Data Engineering
- Machine Learning
Career Highlights
- Expert in building reliable data pipelines.
- Strong background in AI and data science.
- Experience with end-to-end data processing and model deployment.
Work Experience
KPI Partners
Data Engineer (4 mos)
Data Engineer (2 mos)
NEUZEN AI
Ai engineer intern (3 mos)
Education
Bachelor of Science - BS at Indian Institute of Technology, Madras
Bachelor's degree at Raja Shankar Shah University, Chhindwara
12th at M.C.S. Public School, Balaghat
Master's degree at Makhanlal Chaturvedi National University of Journalism and Communication (MCNUJC), Bhopal