Data Science Graduate | Data Analyst | Data Scientist| DS/Engineering Analyst
Transforming complex data into strategic insights that drive impact.
Data Science graduate blending engineering precision with machine learning innovation. I build end-to-end analytical solutions—from deep learning models and predictive systems to compelling visualizations that empower education programs and guide data-driven decisions grounded in evidence.
I'm a problem-solver at heart, combining the precision of engineering with the power of data to tackle real-world challenges through data. With an MS in datascience from Queen Mary University of London and a foundation in Computer Science Engineering, I bring a unique perspective to data analysis; one grounded in both rigorous mathematical theory and practical application.
What drives me is the moment when complex data reveals its story. Whether I'm building predictive models in Python, conducting statistical analysis in R, or creating spatial visualizations with GIS, I'm constantly seeking patterns that inform better decisions. My engineering background taught me to think systematically about problems; my data training gave me the tools to solve them with precision. Beyond the technical work, I'm passionate about making STEM accessible. I've mentored over 100 students, helping them discover their own analytical capabilities, an experience that's sharpened my ability to communicate complex ideas clearly and work effectively across diverse teams. Currently, I'm seeking opportunities where analytical rigor meets practical impact—roles in data science, data analysis, or engineering where I can leverage my interdisciplinary expertise to drive meaningful outcomes. I thrive in environments that value curiosity, collaboration, and the transformative power of data-driven insights.
Let's connect if you're working on challenges that need both mathematical / data precision and creative problem-solving.
Graduate coursework across deep learning, applied statistics, and numerical analysis with research-driven projects that pair mathematical rigor with deployable machine learning solutions.
Built a strong foundation in structural analysis, technologies, data base system, and design—skills that complement data-driven modeling and decision making.
Python
R
MATLAB
SQL
C
Jupyter Notebook
TensorFlow
PyTorch
Keras
NLP
Pandas
NumPy
Scikit-learn
QGIS
Matplotlib
Seaborn
Ggplot2
Power BI
CAD (Computer‑aided Design)
AutoCAD
STAAD PRO
Google Sheets
LaTeX
Microsoft Office SuiteSupported a STEM program big data processing lab mentored 150+ students and operations through data-informed processes.
Data Analyst, Performed exploratory data analysis (EDA) on structured datasets using Pandas and NumPy.
Completed a Data Engineer internship at deloitte, applying EDA and predictive modeling to solve real-world business problems.
worked as full-time data analyst, Performed exploratory data analysis (EDA) on structured datasets using Pandas and NumPy.
Developed a Power BI Sales Analytics & KPI Dashboard to track sales performance, visualize key metrics, and enable data-driven decision-making.
Built a Customer Churn Prediction System using machine learning to identify at-risk customers and support data-driven retention strategies.
Developed an End-to-End E-Commerce Analytics Platform to analyze sales, customer behavior, and product performance, enabling data-driven business decisions and strategy optimization..
Built a Machine Learning–based Human Facial Recognition System to accurately identify individuals and enable automated security and authentication..
Giving back through education by supporting final-year high school students from underserved communities for two years.
Volunteered as an Academic Teacher with Make A Difference, a renowned NGO in India dedicated to empowering underprivileged children through education. For over two years, I taught advanced computer science to final-year high school students, covering a comprehensive curriculum including c, python, c++, Data base.
My commitment extended beyond traditional teaching—I invested dedicated time and personalized effort to ensure each student not only understood complex concepts but could apply them confidently. The results spoke for themselves: all my students excelled in their academics, achieving success in their final examinations and building a strong foundation for future educational pursuits.
This experience reinforced my belief in education as a transformative tool and strengthened my ability to break down complex ideas into accessible concepts, a skill that now informs my approach to data science and analytical problem-solving. Working with MAD taught me that the greatest impact comes from meeting people where they are and empowering them with knowledge that opens doors to opportunity.
I'm always excited to explore opportunities where applied mathematics and computer science engineering create measurable impact. Reach out to collaborate on research, join forces on a project, or chat about the latest in data-driven engineering.
"The best way to predict the future is to create it through engineering, data-driven insights, and mathematical precision."
