Atin Maiti

Tampa, FL ***** ac8o60@r.postjobfree.com 973-***-****

LinkedIn: https://www.linkedin.com/in/atin-maiti/

GitHub: https://github.com/AtinMaiti

Tableau: https://public.tableau.com/profile/atin4083#!/

Executive Summary

Data Scientist, having a profound understanding of data science lifecycle with expertise in building data pipelines in Python and R

Certified Tableau Desktop Specialist possessing excellent storytelling skills with proficiency in data acquisition and manipulation

Ability to leverage relational database systems (MS SQL Server, Oracle SQL), and no-SQL database systems (Hive, Cassandra)

Professional Experience

Data Science Intern, Nextech Systems LLC, Tampa, Florida May 2018 – Present

Developed a Predictive Model on patient appointment data to predict the chances of no-shows with the help of Machine Learning APIs by incorporating feature engineering, hyperparameter tuning, model selection, and created flask API for production use

Performed Quantitative and Qualitative analysis on market data with the help of statistical approaches to assist the company make an informed decision during business expansion using Python (Matplotlib, Seaborn) and Power BI

Devised a proof of concept model by training a Convolutional Neural Network to classify optical imaging data, the model will reduce the efforts to identify the type of imaging data efficiently when imported from external storage

Assistant System Engineer, Tata Consultancy Service Limited, Thane, India Aug 2015 - Jul 2017

Identified meaningful insights from large datasets and developed dashboard for tracking Key Performing Indexes using Tableau

Analyzed enhancement requests to examine its feasibility with business, fixed production bugs with SQL queries on Toad

Provided ad-hoc data analysis and create customized Salesforce reports for clients and supervisor

Education

MS in Business Analytics & Information System, The University of South Florida, GPA 3.71/4 Aug 2017 - May 2019

BS in Electronics and Telecommunication, The University of Mumbai, GPA 3.5/4 Aug 2011 - May 2015

Relevant Projects

High Risk Client Prediction - Czech Bank (Python) Fall 2018

Transformed bank’s relational database into a single DataFrame using Python, identified the target variable, performed Feature Engineering to train a binary classifier model to predict high-risk clients based on defaulter in loan payments

Used SMOTE analysis technique to defeat the imbalance in data and accomplished 90% accuracy after comparing several models

California Housing Price Analysis using Big Data Techniques (Hadoop, Spark, AWS S3) Spring 2018

Performed exploratory data analysis and predictive modelling on housing data to determine the house price and their interactions

Ingested data from data lake (AWS - Simple Standard Storage) into HDFS using PySpark - MLLib

Florida School Shooting, Sentiment Analysis, and Visualization (R and Tableau) Spring 2018

Extracted tweets and performed Sentiment Analysis of people's thoughts in their tweets by categorizing words by emotions

Major Insights: Emotion of fear was more prevalent than anger as these saddening and tragic events occur

Walmart Sales Prediction (R Programming) Fall 2017

Trained Multi-Level Ordinary Least Square model and ARIMA model to predict weekly sales of stores by department

Key finding: Significant and measurable effects on sales due to an interaction of promotion and holiday

Certifications

Inferential Statistics by Duke University on Coursera, certificate earned on 29-Jan-2019 Link

Digital: Bigdata and Hadoop Ecosystems Foundation, certificate earned on 15-Apr-2016 Link

Skills

Languages: Python, Spark (PySpark), Sqoop, Hive, Cassandra, SQL (T-SQL, PL/SQL), R, JSON, HTML, Java, SAS

Algorithms: Decision Tree, Random Forest, Naive Bayes, Neural Networks, K-NN, Linear and Logistic Regression, Support Vector Machine, Deep Learning, PCA, K- means Clustering, Hypothesis testing

Technologies: Tableau, Power BI, Weka, SAS Enterprise Miner, Microsoft Visual Studio, MS Excel, MS Visio, Salesforce, SSMS, GitHub, Amazon Web Services – (EC2, S3, RDS), Google Analytics, Databricks, SSIS

Techniques: A/B testing, ETL, web-scrapping, working with REST API

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