Sai Sri Harsha Lekharaju

QA Technician and certified Data Science Professional

ac9up0@r.postjobfree.com +91-944**-***** Bengaluru, IN LinkedIn GitHub

Experienced QA Technician with a passion to improve the quality of the product and enhance the testing processes.

Proficient in deploying complex machine learning and statistical modelling algorithms/techniques for identifying patterns and extracting valuable insights for the organizational leadership.

TECHNICAL SKILLS

Frameworks

R Base package, Dplyr, ggplot2, tidyr

ML/DL Techniques

Logistic Regression, Linear Regression, Clustering, SVM, Random/Decision Forests

Tools & Languages

R, SQL, Hive, Tableau, Java, Python

KEY SKILLS

Supervised/Unsupervised Learning

Exploratory Data Analysis

Data Visualization & Sanitization

Business Analysis & Strategy

Predictive Analytics & Modeling

Team Management & Leadership

Database Management

Data Cleaning

Model Tuning

CERTIFICATIONS

PG Diploma in Data Science IIIT – Bangalore (07/18-06/19)

DataCamp SQL for Data Science (08/18)

DataCamp Introduction and Intermediate R (08/18)

KEY DATA SCIENCE PROJECTS

Domain: UBER Case study Sep '18

Objective: UBER is facing cabs shortage issue from airport to city and city to airport. Find out why there is a problem with the cabs using Exploratory Data Analysis on the data. Provide solutions to fix these problems

Tech Stack: R, RStudio

Solution: Cleaned the data and did the Exploratory Data Analysis to find out the root cause problem

Key Achievement: Found the root cause and provided the appropriate solutions

Domain: Telecom Churn Oct '18

Objective: Consumer who is likely to churn the telecom company

Tech Stack: R, RStudio

Solution: Used Logistic Regression models to find out which customer is most likely to churn

Key Achievement: Created a model with an accuracy of around 80%

Domain: NYC Parking Tickets Mar '18

Objective: Analyse the trip level data made by different cab vendors in NYC

Tech Stack: Hive

Solution: Done EDA on the data in HIVE and derived insights related to no. of trips per month, no. of passengers, etc.

Key Achievement: Found insights on no. of trips per month, no. of passengers, average tip per trip, average speed, etc.

Domain: NYC Parking Tickets in Apache Spark Mar '18

Objective: Analyse the parking tickets in NYC for different cab vendors. Draw information from the data

Tech Stack: Apache Spark R

Solution: Done EDA on the data in HIVE and derived insights related to parking tickets, vendors, vehicles, etc.

Key Achievement: Found out no. of tickets assigned per vendor during the year and most violated parking code in NYC, etc.

Domain: Chinese Car Company Price Estimate Oct '18

Objective: A Chinese car company wants to launch its cars in US market. Predict the price of new cars using the existing data

Tech Stack: R, RStudio

Solution: Developed Linear Regression Model to predict the price of the cars

Key Achievement: Developed a model with a Rsquare 0.84

PROFESSIONAL EXPERIENCE

Quality Assurance Technician-2 Amazon India Bengaluru, IN May ’16 – June ’18

Amazon is an e-commerce giant whose headquarters are located in Seattle, US which has a total of more than 5 lakh employees. It is functional in more than around 10 countries in the world. Amazon’s revenue is around 23,288 USD as per 2018

Client: Amazon, Detail Page Team

Testing Detail Page

Handled the testing of team’s website and filed bugs which would break the page

Regression is carried out as part of manual regression which will check the functionality of the features on the page

Performance testing and comparison testing is done as part of automated testing. This is useful in monitoring the performance metrics and catch bugs related to JS

Participated in UAT’s conducted by other QAs which helped in gaining knowledge about other projects

Project testing and Feature enhancement

Owned the project end to end as a single person POC for the project

Tested new features and enhancements for existing features as part of project testing increased the quality

Automated the repetitive tasks in the project which would decrease the total project time. For the projects done by myself, around 10 – 20% of the duration is reduced

Documentation & Audit

Ensured effective documentation of projects w.r.t their purpose. Created documents before each project with the plan and timelines for tracking purposes

Performing post-launch technical audits as part of initiating and implementing a proactive QA process

Validated all the team’s wiki information in a timely manner which helps in maintain the updated content about the projects carried out in the team

Mentoring & Stakeholder Management

Mentored junior Device Associates/QAT’s which helped them understand the team and related information quickly

Ensured effective execution of all tasks and reduced the delay

Coordinated & worked with Dev. team as the on-call representative from the QA, to resolve bugs

Infrastructure creation and maintenance

Created pipeline tools for deploying the existing code into production. This helped in reduction of code flow time

Automated the ticket closing process which helped in reduce the time spent on closing duplicate tickets

Quality Assurance Technician – 1 Sep’15 – May ‘16.

Executed the daily regression tasks and projects

Monitored the daily tickets related to the team and reduced significant number of tickets day to day

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Device Associate Aug’14 – Sep ‘16

Helped the team in completing the tasks for regression in different platforms

Handled impromptu testing for the team during some unavoidable situations which helped the team to unblock the project

EDUCATION

B. Tech. – Information Technology Srk Institute of Technology Vijayawada, IN June ’10 – May ‘14

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