Worked as a Salesforce Certified Developer. My responsibilities at Cognizant included intensive programming in Apex programming language. It is just like JAVA, using an object-oriented concept including some portions of JavaScript. I took elaborate video conferences from onsite counterparts and assisted them with flexible yet pragmatic plans of development. I also completed a minor project with Python 3.6.2 in Jupyter Notebook.With regard to my ability to meet the specific requirements of this job, these are few of my past roles: •Project: Omni Channel Using Salesforce, I configured the service cloud platform where agents and customers can chat for any online help. This whole setup is known as ‘live agent configuration’ which is eventually used to make business more effective and efficient at communicating •Project : SNAP Invalid Email Enhancements Completed the business requirement of providing back-end logic for valid Email extensions so that no invalid or spam Email can be provided. This in turn provided more authenticity to the website and its usage •Project: ORACLE CPQ CLOUD Enhancements Single-handedly created the style sheets and co-ordinated with onsite counterparts to enhance the User Interface for the new version of ORACLE. • Worked with the cloud-based software Salesforce.com that helps multi-level organizations such as GE and Symantec to generate prices and quotes for complex and configurable products. • Created new marketing ideas for an online-delivery solution for international retail prospects with unique coding methods for each product. • Implemented a live agent-based customized page through APEX language where client and agent can share their queries and get easy solutions. • Developed web services using JSON format and sent the datasets to other data clients for domestic and international customers through online cloud products.

1. SUMMARY
SUPRATIK CHANDA
www.linkedin.com/in/supratik-chanda-a10082a8 | https://github.com/SupChanda
supchanda08kol50@gmail.com | www.kaggle.com/supchanda08kol50 | +1 (435) 294-5661
• A designated data analyst with 4+ years of experience in identifying trends & insights based on data with a proven expertise in the
administration and enhancement in the Banking and Finance vertical. Possess strong working knowledge of statistical data modeling,
business intelligence & data visualization and science tools.
EDUCATION
Master of Science in Management Information Systems (Data Science) Expected: May 2020
Utah State University, Logan, UT GPA: 3.72
Bachelor of Engineering in Electronics & Instrumentation Engineering June 2010 - May 2014
Future Institute of Engineering and Management , WB , India GPA:7.62
WORK EXPERIENCE
Graduate Research Assistant | USU Feb 2019 – Present
Congress Bill Data Scraping and Bill-Code Prediction using Beautiful Soup, GridSearchCV, Pipeline and Logistic Regression
• Successfully web scraped the Korean and Swedish Bill Congress Information with HTTP address, converted into Pandas DataFrame,
collected in an Excel file using libraries like ‘NumPy’, ‘Sklearn’, ‘Pandas’, ‘matplotlib’, etc.
• Analyzed GridSearchCV with K-Fold cross validation to find the best model with highest accuracy and lowest error rate; Applied
make_pipeline technique to predict the Bill Categories with 91.10% test_accuracy_score and 0.05% error rate.
Data Analyst: Omni Channel Customer verdict Analysis using SQL SERVER | First Data, Bank of America Sep 2014 – Feb 2015
• Implemented requests and Beautiful Soup to web scrape customer feedback. Utilized MS SQL for data intelligence and analysis
• Performed data cleansing, data modelling of customer feedback for international retail prospects with scikit-learn, NumPy, pandas, along
with web-scraping tools. Visualized the feedback results using Tableau.
Data Analyst: Data Conversion to JSON and loading data in NOSQL Databases like MongoDB | Zions Bank March 2015 – Dec 2015
• Applied Postman API with GET, POST requests to get and send the information in JSON format to analyze the data.
• Implemented pandas_to_csv to fetch data in csv format and implemented bar-charts using seaborn. Used Tableau for data visualization.
Machine Learning: Alexa Rating Prediction using Sci-kit Learn | Cognizant Jan- 2016 -- Nov 2016
• Conducted Natural Language Processing with NLP Bag of Words model, Porter Stemmer, feature_extraction CountVectorizer and
classification models feedback analysis.
• Designed Naive Bayes Classifier (GaussianNB and MultinomialNB) to produce a classification report: f1_score of 87%.
Salesforce Platform Developer | Cognizant Jan 2017 – Jul 2018
• Implemented triggers and developed Visualforce page for live agent configuration.
• Generated a live agent-based customized page with Agile technologies through APEX language where client and agent can share them
queries and get easy solutions. Worked in an Agile based fast-paced development environment.
PROJECT EXPERIENCE
Reformation of a French Text corpus with storage of findings in Mongo Database Nov 2018 – Dec 2018
• Examined the Raw French corpus, cleansed the data, broke each sentence into sequences of bigrams and trigrams with the help of NLTK
tokenizer module, trigram and bigram packages. Uploaded the data in NOSQL MongoDB Database from PyCharm using Pymongo and
Mongo client libraries and packages.
Developed and analyzed reports using SQL, MS SQL Server 2017(Click here to see) Oct 2018 – Dec 2018
• Designed complex SQL queries using complex joins, grouping, aggregation, nested subqueries in SQL Server Management Studio.
• Developed stored procedures, functions, triggers and jobs.
P-Value Hacking, R-squared Analysis using Linear Regression (Click to see) Feb 2019 – Mar 2019
• Evaluated Hydro-logical dataset using Multiple Linear Regression to analyze the connection between p-values and null hypothesis testing.
Used p-hacking to improve the accuracy score from 68% to 100%. Enacted StatsModels to determine R-squared values.
• Generated various graphs such as line chart, bar graph, horizontal bar-in-bar chart, map, bubble charts using matplotlib, seaborn.
Gender Voice recognition using Logistic Regression and SVM (Click to see) Mar - 2019
• Analyzed the data using various python libraries such as ‘pandas’, ‘NumPy’, ‘matplotlib’, ‘Sklearn’, etc.
• Applied GridSearchCV and RandomizedSearchCV sklearn model_selection packages, poly and RBF kernels of SVMs.
Wine type prediction using Decision Trees and Neural Networks and graphviz (Click to see) April - 2019
• Contemplated on real-world wine data consisting information of acidity, pH present on wine.
• Inspected the significance of parameters like max_depth, max_leaf_nodes, min_samples_leaf, neurons in each hidden layer.
Google’s Speech recognition for email content dictation and sending mail (Click to see)(Click to see the video) May 2019 – Present
• Applied python packages like smtplib, pyttsx3, pyaudio, engine to detect speech and convert to voice.
• Speech recognition packages used were speech_recognition, web scraping functionalities like requests, Beautiful Soup.
Tableau to develop workbooks, dashboards, complex parameters-based calculations.(My tableau Profile Link) June 2019-Present
• Experience with designing complex dashboards taking advantage of all tableau functions including data blending, actions, parameters, etc.
• Interprets data and analyzes results using statistical techniques and provides ongoing reports.
CERTIFICATIONS
• Data Analysis with Python by IBM on Coursera (Click to see) Dec – 2018
• Introduction to Data Science in Python by University of Michigan on Coursera (Click to see) Dec – 2018
• Data Visualization with Python by IBM on Coursera (Click to see) Dec – 2018
• Certified as Salesforce.com Certified Platform Developer I (ATKON007)

2. SKILLS & INTERESTS
• Languages/Framework: Python, PySpark, SQL, Salesforce, MS SQL, SERVER 2017, MS Excel, SQL, HTML, CSS, Java(Basic) and
JavaScript
• Data Mining Algorithms: Linear Regression, Logistic Regression, Classification, Birch Clustering, Decision Trees, Random Forest, Naïve
Bayes, Neural Networks, etc.
• Predictive Analytical Methodologies and tools: Pandas, Numpy, Seaborn, Matplotlib, Tableau, etc.
• NOSQL Database: MongoDB
VOLUNTEERING & EXTRACURRICULAR
• USU Business Intelligence Team Lead for AmerisourceBergen challenge (Click to see) .