My keen interest in the subjects of Computer Science, as well as Business Intelligence, has enhanced my Analytical and Quantitative Skills, while a touch of ingenuity has always kept me connected to my creative side.
I am passionate about continuous learning and experimenting with new technologies and software paradigms.
Because of my solid background in Python, R, SQL, and a knack for problem-solving I tend to understand the importance of cross-dimensional domains as a technical person , focusing on a solution for an organization.
I am a team player who thrives in a proactive environment with dedication and zeal to gain a solid
understanding of answers, which yields the best results.
Skills
• Data Analytics and Modeling : Statistical Analysis, Hypothesis Testing , Data Mining, Data Wrangling, Feature Engineering, Marketing Analytics,
Econometrics, Machine Learning, Supervised Learning (Regression, Classification, Ensembles), Unsupervised Learning (Clustering, PCA), Deep Learning
(CNN,RNN), Natural Language Processing.
• Programming Languages and Tools : Python, R Programming, SQL, Postgre SQL, SAS, Power BI, Tableau, Oracle Analytics.
• Libraries and Frameworks: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, NLTK, Keras, TensorFlow, Dplyr, Caret, Ggplot2. .
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Experience
• Designed and deployed ad hoc Power BI dashboards and site metrics reporting interfaces.
• Automated manual reports for the team and reduced processing time by 60% .
• Scheduled and facilitated reports using Sharegate to SharePoint Document libraries.
• Engineered robust data models for business and configured Workspaces, Gateways, and Refreshes to provide insightful BI solutions.
• Interpreted, evaluated, and interrelated data of 10 departments from 3 different sources and developed integrated business analysis and
projections for incorporation into strategic decision-making
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Projects
Neural Machine Translation using Transformers : Implemented first sequence transduction model based entirely on attention, replacing
slow recurrent layers with multi-headed self-attention, following the paper “Attention is all you need”.
• Oracle Practicum Student : Working with Oracle’s Data Science & Advanced Analytics team to build a marketing campaign recommendation
system and help sales reps and marketers decide what to do next.
• Zomato Restaurant rating Prediction : Exploratory Data Analysis to identify major attributes affecting restaurant ratings.
• Google Store Sales Analysis : Advanced Analysis of Google Stores Sales Data and Investigated business questions pertaining to targeting new
customers and generating additional revenue from existing customers.
• Causal Effect of Cigarettes on CHD : Analyzed the risk factors of developing a coronary heart disease to understand the causal relationship of
cigarette smoked per day as a factor in determining whether a patient suffers from Coronary Heart Disease.