Hello, I am Ajith
Data Analyst and Full-Stack developer who makes inconsistent data to consistent with a handful of completed projects which also resembles my interest in four brothers (AI, ML, DL, NN) and also proved author by publishing a book under Kindle Publications
Education
University of Hildesheim, Germany | 2019 - 2022 Course: Masters in DataAnalytics
Institute of Aeronautical Engineering, Hyderabad,
Information Technology | 60 | 2014-2018
Courses: C,Java, Linux,Lisp,DBMS,Networking
Narayana Junior College,Hyderabad, 92.5 % |
June. 2012-May. 2014
Courses: Maths, Physics, Chemistry
Experience
November 2021 - April 2022
Munich, Germany
Position: Data Analyst
October 2019 - April 2020
Stuttgart, Germany
Position: Data Analyst
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Analyzing the crucial data of the bank and creating dashboards using data analytics tools called Palantir and Tableau (Stack: Python, SQL)
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Interacting with clients and explaining to them how the tool works and creating analysis according to their requirements.
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Using some machine learning algorithms for fraud detection, Interest rates on bank account data.
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Managing customer data and providing business insights via visualization through Superset.
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Performing SQL queries on customer-related data.
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Performing operations like Price Elasticity on Daimler's data using python.
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Researching on APACHE family and giving information about which software is suitable for the data depending on the size. (GB to PERABYTES to TERABYTES)
December 2018 - September 2019
Hyderabad, India
Position : Machine Learning Data Associate
March 2018 - June 2018
Bangalore, India
Position: Software Engineer
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Worked on the Recommendation system for Amazon's core product Alexa.
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Projects involved are Entity Resolution and Entity Judgement.
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Improving the model so that the entities (Books, music etc) reach to the target user.
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Worked on Alexa Data - from data cleaning to analyzing and providing insights.
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Analyzing the datasets in Excel and getting ready for using it in Machine Learning Algorithm
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Building Application Programming Interfaces for individual tracking IoT devices.
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Designing User Interfaces for major clients like Flipkart and Myntra to track their products both on the web and mobile.
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Tracking and showing the location of the device on maps through the dashboard design.
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Improving the GPS location even for the odd areas where google maps doesn't provide an accurate result by extracting the data from the device and reusing it.