I am a data fanboy and business enthusiast. My passion lies on the intersection of Data, Econometrics and Technology and I find data science to be the perfect blend of all.
I am an inquisitive human with a knack of finding creative solutions which are supplemented by data exploration, analysis and visualization. Having a strong quantitative and business background helps me come up with robust solutions for real-world business problems in the contemporary world of big data.
I am currently pursuing my Masters in Analytics from Northeastern university, expected to graduate in May 2023. Prior to this I graduated from the Prestigious University of Delhi with a Bachelors degree in Economics. While pursuing my Bachelors, I have interned with companies in distinct industries where I tested my skills of providing data-driven analytical solutions, business and effective communication in real word scenarios.
I worked in different stratas of businesses like Business Development, Marketing and Supply chain Management and have intensive knowledge of all intricacies which make up these verticals. Having such a wide horizon of domain knowledge is what makes me better data analyst as I am able to gauge the underlying needs of businesses and provide holistic solutions to their problems.
My core competencies include:
Programming Languages Python (Pandas, NumPy, Scikit-Learn, StatsModels, NLTK), R (dplyr), SQL,
Tools Jupyter, Spyder, R Studio, Data Build Tool, Excel
Database & Big Data Technologies - Snowflake, SQL Server, SQL Workbench
Machine Learning Regression (Linear, Logistic, Lasso, Ridge), KNN, Random Forest, Gradient Boosting, K-Means
Statistics Hypothesis Testing- ANOVA, T-Test, Z-Test, Significance, A/B Testing, Classification, ARIMA
Data Visualization Tableau, Matplotlib, Seaborn, Plotly, R Shiny, ggplot2
I am currently looking for any Spring 2023 Internships as well as New Grad Roles for May 2023.
Expected Base Salary
**0,000 USD / year
Expected Hourly Rate
Total Professional Experience
- Programming Languages Python
- Tools Jupyter
- R Studio
- Data Build Tool
- Big Data Technologies
- SQL Server
- SQL Workbench
- Machine Learning Regression
- Random Forest
- Gradient Boosting
- Statistics Hypothesis Testing- ANOVA
- B Testing
- Data Visualization Tableau
- R Shiny
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