Electrical Engineer Data Analyst

SAI RISHAB LINGAMPALLY

608-***-**** ***.*******@*****.***

As an Electrical Engineer and a Computer Science Student I would like to play a key role in Creative and Innovative Environment with commitment towards the eld of work, enabling me to explore myself and unleash my capabilities for the growth of the Organization. EDUCATION

Texas A&M University-Kingsville AUG-2018- MAY 2020 Masters in Computer Science GPA: 3.76/4.0

WORK EXPERIENCE

MagTech -BNY Mellon. Nov 2020 - Present

Data Analyst and Data Lineage New York, USA

Detail Analysis of the Metadata using Thoughtspot.

Created pinboards and worksheets on top of ThoughtSpot tables which are used as source by business users to create reports.

Experience in writing TQL, SQL, Excel queries.

Performed data pro ling against Metadata and developed business rules to monitor potential data.

scanning metadata using ASG Rochade and Becubic

Scheduling pentaho jobs for data loading into thoughtspot.

Experience in ODBC abd JDBC connections to the application. Siemens Ltd. EM HP AIS MAY 2016- JULY 2016

Intern Hyderabad, India

Designing the di erent types of Dis-connectors,and Quality testing.The whole working procedure of the company.

Assist the Business Models and Pricing team, to execute the Product Pricing requests made by internal business clients

PROJECTS

Estimation of Stock Prices using Machine Learning OCT 2016-APR 2017

Worked on nancial data, historical data, news and tweets of di erent companies.

Using Recurrent Neural Networks, Natural Language Processing and Long Short-Term Memory Networks for estimation of stocks.

Achived an Average error of 8%.

New york Real-Estate SEP2019-JAN2020

Predicting the transaction prices of the houses using ML techniques.

Build a real-estate pricing model using that dataset. Built Food Recommend-er system OCT 2018-APR 2019

Analyze the existing state-of-the-art in food recommender systems for individuals and the group.

Worked on di erent methods used for recommendation and Machine learning techniques using python. New york crime Analysis FEB2020-May2020

Predicting the crime rate in the city using location based grid method

Build using regression and the tweets and nlp.

TECHNICAL SKILLS

Languages PYTHON, MATLAB, R, LaTex, SQL.

IDE Weka, Jupyter Notebook, Spyder, Atom.

Visualization Thoughtspot, tableau, DBVisualizer, Microsoft SQL server managment studio. Big Data Ecosystem Hadooop, MapReduce, HDFS, HBase, Hive. Software AUTO CAD,COMSOL,Pspice.

Coloud AWS.

Web skills HTML, CSS.

STRENGTHS

Eye for detail, Design Thinking, Motivator Leader, Computational Skills. ACHIEVEMENT’S

Received A-grade in the International Paris Climate Summit Program 2015. NIMO (National Interactive Math’s Olympiad) : National/State/School: 957/161/31. KWEST Olympiad Examination :( class 8):AIR 512.

Defender and goalkeeper for school football team,Inter School champions in Cricket and Badminton. CERTIFICATIONS

R Programming.

Data Science Methodology.

Tools for Data Science.

Machine Learning.

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