🌱 A data scientist and senior consultant. I have spearheaded several projects across different disciplines of data science & machine learning to deliver data-driven insights to organizations & businesses. I am experienced at creating regression models, using descriptive and predictive data modeling to implement action-oriented solutions to business problems. Having been to 25 countries and territories for academic and professional purposes, I am flexible to work with people regardless backgrounds and cultures.
At Capgemini, I have worked as:
- Senior Data Engineer- Meta/Facebook
- Senior Data Scientist Generative AI- Cox
- Senior Data Scientist- Cisco
- Data Engineer Analytics - NBC Universal
•Tools: Python, R Studio, SQL, MySQL, Visual Basic for Applications (VBA) , Apache Spark, Hadoop, PowerBI, Tableau, Adobe Analytics, Anaconda, Azure, Amazon Web Services (AWS), ArcGIS by Esri, Flask, Docker. •Library / Packages: R (ggplot2, Caret, Tidy verse, dplyr), Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Tensorflow, PyTorch). •Technical Skills: Data Mining & Visualization, Statistical Inference, Big Data Analytics, Regression, Classification, Clustering, Deep Learning, Monte Carlo, Gradient Boosting, T-Testing & ANOVA, Process Mapping, Project Management, Root Cause Analysis.
💻 -Example projects:
-NLP projects with Streamlit(Python, Streamlit, NLP)
-United Nations' NLP Crisis Informatics (Python, NLP)
-Ads Optimization with Facial emotion recognition (Python, Computer Vision)
-Investing in pre-IPO Unicorn Startups
-US Election 2020 Twitter Sentiment Analysis (Python, NLP)
-1st winner Hackathon- Interactive Virtual Agents for questions related to COVID19
-Movie Recommendation & Ratings with Deep Learning (Spark, SQL)
-Annual Income Predictions (Python)
-Microsoft Malware Prediction (R)
-Seattle vs Washington DC Aibnb Analysis- (Python)