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S A N J A Y T A L L O L L I

adbi1t@r.postjobfree.com B.E Bangalore +91-968******* 1-Year Data Science Hands on Experience LinkedIn: https://www.linkedin.com/in/sanjaytallolli/ GitHub: https://github.com/sanjaytallolli PROFILE SUMMARY:

Data Science enthusiast and self-motivated individual with total 11+ years of experience in lighting design using Dialux software, Dialux 4.12, Dialux Evo, AutoCAD 2010 software & Proficient in Microsoft Office Along with upskilled in Statistics, Machine Learning, Text Mining, Business Analytics and Regression Analysis. Knowledge of CRISP-DM Methodology, CART / CHAID segmentation, Descriptive and Statistical Modelling, Inferential Statistics, Summarizing Data, Normal Distribution, Sampling, Sample Distributions Hypothesis Testing, Bayesian models, Correlation, Multi Collinearity, Chi-square tests, ANOVA, Standardization / Z- score, Normalization, Data & Text Mining, Data Visualizations and Creating Dash Boards using Tableau. Knowledge of Python Frame works like Pandas, NumPy, Matplotlib, Seaborn and Scikit-Learn. Machine Learning Models: Decision Tree, Random Forest, Multiple Linear Regression, Logistic Regression, SVM, KNN, Naïve Bayes, Regularization, Artificial Neural Network, CNN, NLP, Gradient Descent, Ensemble Learning, K-mean Clustering, Error Metrics, Cross Validation, Hyper Parameter Tuning, Deployment. TECHNICAL SKILLS:

Analysis Tools : [R Studio], [Python Jupyter notebook], [Spyder], [PyCharm], [Tableau], [MS Word],

[MS PowerPoint], [MS Excel]

Prog. Languages : [R], [Python], [SQL], [Scala], [Spark], - (Intermediate Level),

[Flask], [Django], [SAS], – (Basic Level).

Databases : [MS SQL], [MongoDB].

Packages : [NumPy], [Pandas], [ggplot2], [Shiny], [ggvis], [Matplotlib], [Seaborn].

Version control : [Git] and [Git-hub].

PROFESSIONAL COURSE / CERTIFICATIONS:

“Data Scientist Certification Course” from edWisor with two Minor Projects (April 2019 to October 2019).

“Data Scientist Master Certification Course” at Simplilearn.com (March 2018 to January 2019).

“IBM Data Science Masters Certificate Course” from Intellipaat.com (August 2019).

“Data Science toolbox” from Coursera (June 2019).

“Data Science with SAS Course” from Simplilearn.com (November 2018).

“Data Analysis with Excel” from Data Camp.com (July 2019).

“Python for Data Science and Machine Learning Bootcamp” from Udemy (Feb 2019).

“Applied Machine learning using R” from Udemy (March2019).

“Introduction to Databases and SQL Querying” from Udemy (April 2019). HANDS ON PROJECT EXPERIENCE:

Project-1: Cab Fare Prediction GitHub Repo Link: https://github.com/sanjaytallolli/Cab-Fare-Prediction Objective: This project is all about predicting the cab fare and analyzing the impact of no of passengers, Holidays/working days on the fare amount. We analyzed fares across months, days and years. Based on our analysis we designed a system that predicts the fare amount for a cab ride in the city.

Model: Random Forest model Tools/libraries: R, Python, NumPy, Pandas, Matplotlib, Seaborn Duration: 15 Days Project-2: Bike Rental Count GitHub Repo Link: https://github.com/sanjaytallolli/Bike-Rental-Count Objective: This project is all about predicting the bike rental count and analyzing the impact of season, Holidays/working days, weather-sit on the rental count. We predicted the bike rental count on daily based on the environmental and seasonal settings. https://bike-rental-count-api.herokuapp.com (Web API) Model: Gradient Boosting model Tools/libraries: R, Python, SK-learn, Matplotlib, Seaborn Duration: 15 Days Project-3: Healthcare Cost GitHub Repo Link: https://bit.ly/2WwbJcI Objective: A survey of hospital costs conducted by the US Agency for Healthcare consists of hospital records of inpatient samples. The given data is restricted to the city of Wisconsin and relates to patients in the age group 0-17 years. The agency wants to analyze the data to research on the healthcare costs and their utilization. Model: MLR Tools/libraries: R Duration: 15 Days

Project-4: Internet (Web Data Analytics) GitHub Repo Link: https://bit.ly/2PFGjPH Objective: The web analytics team of www.datadb.com is interested to understand the web activities of the site, which are the sources used to access the website. They have a database that states the keywords of time in page, source group, bounces, exits, unique page views, and visits.

Model: Generalized Linear Model Tools/libraries: R Duration: 10 Days https://sanjayst.blogspot.com https://www.patreon.com/stallo Page 02 of 02 Project-5: Insurance GitHub Repo Link: https://bit.ly/2WsTSTO Objective: The data gives the details of third-party motor insurance claims in Sweden for the year 1977. In Sweden, all motor insurance companies apply identical risk arguments to classify customers, and thus their portfolios and their claims statistics can be combined. The data were compiled by a Swedish Committee on the Analysis of Risk Premium in Motor Insurance. The Committee was asked to look into the problem of analyzing the real influence on the claims of the risk arguments and to compare this structure with the actual tariff.

Model: Multiple Linear Regression Model Tools/libraries: R Duration: 10 Days Project-6: Customer Service Requests Analysis GitHub Repo Link: https://bit.ly/2Ws0HVN Objective: Perform a service request data analysis of New York City 311 calls. You will focus on the data wrangling techniques to understand the pattern in the data and also visualize the major complaint types Model: Multiple Linear Regression Model. Tools/libraries: Python, Matplotlib, Beautiful Soup Duration: 10 Days Project-7: Movie lens Case Study GitHub Repo Link: https://bit.ly/2NqIsfm Objective: The Group Lens Research Project is a research group in the Department of Computer Science and Engineering in the University of Minnesota. The researchers of this group are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems. Here, we ask you to perform the analysis using the Exploratory Data Analysis technique. Tools/libraries: Python, NumPy, Pandas, Matplotlib, Beautiful Soup Duration: 10 Days WORKING EXPERIENCE:

Total 11+years of Experience. In which 7Months of Experience in Warehouse Maintenance. 2Year, 5Months of Experience in Electrical Design consultancy. 9.5Years of Experience in Plant/Commercial Lighting System Design both indoor & outdoor.

1 Year of Hands on Experience on Data Science skills Like R Python Excel Tableau SQL Mongo DB Spark Machine Learning.

ORGANISATIONS DETAILS:

Assistant Manager - Lighting Design in Wipro Technology (ICG), Bangalore from 1st of October 2015 to till Date.

Senior Engineer - Lighting Design in Wipro Technology (ICG), Bangalore from 1st of July 2012 to Sept 2015.

Senior Engineer - Lighting Design in Wipro Eco Energy, Bangalore from 26th of February 2010 to 30st of June 2012.

Assistant Engineer-II in Power Engineering and Technology Consultants Private Ltd., (PCPL) Bangalore from 1st of October 2007 to 25th of February 2010.

Ware house In-charge, in Castrol India Limited, Bangalore. From -1st of March 2007 to 30th of September 2007. Extracurricular Activity/Achievements/ Seminars/ Workshops:

Best Performer in Design Team in 2014 and Best Team member Lighting Design 2015 and 2016.

Started writing Data Science Blogs and Plan to start you tube channel on Data Science Learning.

Planning to upskill by attending Upcoming Hackathons and Meetups in Bangalore. ACADEMIC QUALIFICATION:

B. E in (EEE) from B. V. Bhoomaraddi College of Engineering & Technology, Hubli under Visveswaraya Technological University with 64%

HSC from Kittle Science College, Dharwad under Department of Pre-University Board with 66.50%

SSLC from Basel Mission Boys High School, Dharwad under Karnataka Secondary Education Examination Board with 74.24% DECLARATION:

I here by declare that all the above stated information is true to the best of my knowledge and belief. Yours Truly,

Place: Bangalore.

Date: (SANJAY)

Notice Period: 15 Days and relevant documents will be shared while joining.

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