
Driven by the power of data to tell meaningful stories and enable better decisions, my professional journey is rooted in a deep curiosity for uncovering insights that translate into real-world impact. A significant part of my analytical foundation was shaped through years of disciplined civil service examination preparation—an experience closely aligned with data and analytics practices, demanding structured thinking, resilience, and comfort with uncertainty. Much like iterative model development, this phase strengthened my adaptability, analytical reasoning, and ability to perform under pressure, forming the backbone of my approach to complex, data driven problem-solving.
To channel my curiosity and analytical mindset into a formal direction, I completed a Post Graduate Program in Data Science, gaining hands-on exposure to Python, SQL, machine learning, and visualization tools. I now aspire to make a meaningful impact in the data domain —Fueling Insights, Shaping the Future with Data.
Key accomplishments include:
Key accomplishments include:
Key accomplishments include:
Key accomplishments include:
Python ( pandas, NumPy, scikit-learn )
SQL ( Joins, Aggregations, Subqueries )
Power BI ( DAX, Data Modeling, Interactive Dashboards )
Machine Learning (Regression, Classification, Clustering, Time Series Analysis, Model Evaluation)
Exploratory Data Analysis (EDA) & Feature Engineering
Data Visualization
Git, Version Control
GenAI ( Retrieval-Augmented Generation(RAG), LlamaIndex, OpenAI APIs)
Advanced Excel( Pivot Tables, Automation )
Data Storytelling and Communication
Teamwork and collaboration