Clients I’ve Worked With
I’m a data science professional with 2+ years of experience in client-facing roles across healthcare, pharma, e-commerce, manufacturing, and enterprise software. I’m passionate about solving real-world problems through data, and my experience spans across analytics, data engineering, machine learning, deep learning, and generative AI — building predictive models, streamlining pipelines, and driving impactful insights.
Outside of work, I’m a naturally curious and creative soul. Whether I’m sketching out an idea, getting lost in a book (currently diving into The Alchemist), or writing to reflect and unwind. I speak six languages and thrive in conversations that cross cultures and perspectives. I also enjoy stepping into leadership roles and have been actively involved in student and professional organizations throughout my journey.
• Statistical analysis • Data storytelling • Dashboarding • Predictive modeling • A/B testing • Business insights generation .
• Supervised, Unsupervised, Reinforcement Learning • Natural Language Processing (NLP) • Model deployment & monitoring • ML pipeline automation • Model optimisation (hyperparameters and featrue engineering)
• ETL development • Data pipeline design & optimization • Data warehousing (SQL, Snowflake, BigQuery) • Workflow scheduling (Airflow, Prefect)
• Prompt engineering • OpenAI, LangChain, HuggingFace • Fine-tuning transformer models • LLM integration into applications
Jan 2024 - Present
- Supported 130+ students as a TA for database concepts course; researched privacy-preserving cardinality estimation using deep autoregressive models.
- Identified $15M+ in healthcare savings by analyzing patient data and optimizing treatment pathways using predictive modeling.
May 2024 - Dec 2024
- At ASTM, I worked in the Market Intelligence division, contributing to Merger & Acquisation prediction systems, dashboarding, cloud basesd database management, NLP, web & data scraping, and LLM-based application development.
Aug 2022 - Jul 2023
- Delivered data solutions for pharma clients by building ETL pipelines, Power BI dashboards, and predictive models, improving patient retention and enabling early disease detection through EHR data analysis.
May 2021 - Jul 2022
- Led e-commerce analytics initiatives to improve marketing effectiveness,demand forecasting, segmenting customers, and automating business workflows through ML models, time series forecasting, and SAP ERP development.
LLM-powered semantic book recommender—discover your next favorite read with emotion-aware filtering and smart search.
Deep learning–powered loan default prediction using multi-source financial data to drive smarter, inclusive lending decisions.
Forecasting petrol prices using LSTM, ARIMA, and AutoML with an interactive dashboard for model comparison and evaluation.
Detect and explain credit card fraud using anamaly detection unsupervised models, visualize predictions, and explore insights with an interactive application.
Upload any WhatsApp group chat to get instant sentiment and network-based interaction analysis.
CNN-based image classifier with Flask UI for multiclass scenery prediction, data augmentation, and PCA-based feature visualization.
Led the university’s IEEE Robotics chapter, delivering lectures in 10+ tech seminars.
Collaborated in events promoting women in tech, mentored junior data science peers.
Led 100+ member student group, organized national-level competitions on automotive innovations.
Engaged 1000+ attendees as the host for TEDx OU’s second edition.