Harsh Rajesh Darji

315-***-**** addpzb@r.postjobfree.com Portfolio: harshdarji LinkedIn: harshdarji New York, USA TECHNICAL SKILLS

• Data Modeling: Python (Numpy, Pandas, Sckit, Xgboost, Scipy, Matplotlib), R (dplyr, tidyr, ggplot, shiny)

• Business Intelligence: SQL, Tableau, Power BI, Looker, Excel, SSIS, SSAS, Access, Visio

• Web Analytics: Google Analytics, Adobe Analytics, Amplitude, Optimizely

• Cloud Technologies: GCP – BigQuery, Dataproc, Dataflow, Data Studio, AWS – EC2, S3, Redshift, Sagemaker PROFESSIONAL EXPERIENCE

SharpestMinds - San Francisco, California Feb’20 – Present Data Science Fellow

• Designed a full-stack machine learning web-application to recommend Airbnb rentals based on user-defined criteria’s like nightlife, safety, places to visit near the neighborhood

• Collaborating with the Ex-Facebook product manager to push services into deployment Sinclair Broadcast Group - Baltimore, Maryland Jun’19 – Aug’19 Data Analytics Intern

• Collaborated with the Sales and BI team and performed root cause analysis to identify parameters leading to decline in the overall revenue and viewership using the 5 Why’s technique and presented it to the CIO

• Developed a customer churn model (Binary Classification) based on long-term user history (~83% Recall) utilizing Nielsen and ComScore data, Random Forest classifier and SMOTE to resolve class imbalance problem

• Presented analysis using live dashboard to recommend actionable strategies which included upselling and salesperson-customer interaction that underpinned strategic decisions on sales and customer retention Diadeis - Mumbai, India Jun’17 – Dec’17

Data Analytics and Research Intern

• Performed customer profiling and segmentation on demographics data leveraging K-means clustering to help the marketing department improve customer targeting and reduce marketing spending by $25K

• Built dashboards using Tableau and conducted regression analysis on sales records to uplift sales by 13%

• Inflated marketing initiatives and presented suggestions to modify UI design using A/B testing to showcase an increase in engagement by 2% and reduce in cart-abandonment rate by 7% PROJECTS

Disaster Response Web Application (ETL Pipeline, Multi-Output Classification, Flask App) Mar’20 – Apr’20

• Deployed a machine learning web application to identify the type of calamity from the tweets extracted by Figure Eight and provide speedy assistance; improved the classification of 36 categories by 43% (F-1 Score) Walmart Sales Forecast (Time Series Analysis, Forecasting, Gradient Boosting) Jan’20 – Apr’20

• Forecasted sales of items at different Walmart stores in California, Texas and Wisconsin 28 days ahead with a RMSSE of 0.57 to reduce waste and set up appropriate inventory and service levels IEEE CIS Fraud Detection (Python, Class-Imbalance, Classification) Aug’19 – Dec’19

• Applied frequency encoding and LightGBM model with cross-validation on e-commerce transactional data to successfully identify fraudulent transactions with mean AUC of 0.94 Text Summarization (Python, NLP, POS Tagging, Page Rank Algorithm) Jan’19 – Apr’19

• Executed text processing to eliminate noise, computed similarity between sentences and formulated a graph utilizing the page-rank algorithm to summarize a 1000+ words paragraph into a 10-sentence paragraph EDUCATION

Master of Science in Applied Data Science, Syracuse University Aug’18 – May’20 Data Scientist Nanodegree, Udacity Apr’18 – May’20 Bachelor of Technology in Information Technology, University of Mumbai Jul’14 – May’18