Skilled in Data Analytics, Learning Analytics, Business Intelligence and Computational Social Sciences. Strong business development professional currently pursuing my Master’s focused in Data Analytics and Computational Social Sciences from University of Massachusetts Amherst. I am self-motivated with a passion for the techno-business world. I have IT industry experience of 3 years working in Infosys Ltd. I graduated in Electronics and Communication Engineering from Osmania University.
My strong communication and negotiation skills, organizing abilities, along with my experience of working on teams make me a great leader and team player. My volunteering experiences bring out the compassionate and thoughtful side of me. The right blend of Technology background makes me a perfect fit for Data scientist, Data analyst and Strategy roles.
University of Massachusetts Amherst MA, USA Master of Science in Data Analytics and Computational Social Science (Expected Graduation: Dec 2023)
- Coursework: Data Science, Research Design, Text as Data, Quantitative Analysis, Machine Learning, Statistics, Business Intelligence, Statistical Computing.
Osmania University Hyderabad, India Bachelor of Engineering in Electronics and Communication Engineering (Aug 2015 – May 2019)
- Coursework: Computer Architecture, C, C++, Oops using Java, Computer Programming, Probability theory, Network Analysis, Signal Analysis and transforming technology, Applied Mathematics, VLSI design, Data Communication and Computer networks, Digital Image Processing, Startup Entrepreneurship.
- Languages and Databases: Python, R, C, C++, Java, MATLAB, MySQL, NoSql, Oracle, PowerShell, Keil.
- Frameworks and Libraries: Ggplot2, Ploty, Tidy verse, Summarytools, Stats, Tidytext, Quanteda, Rselenium, Lubridate, Rvest, Devtools, TensorFlow, Keras, PyTorch OpenCV, SciPy, Matplotlib, Seaborn, Scikit-learn, Numpy, Pandas.
- Tools: Kubernetes, Docker, GIT, Tableau, Power-BI, Google Data Studio.
- Platforms: Ubuntu/Linux, Windows, AWS, Azure, Google Cloud Platform, Rest API, Excel, Arduino.
- Soft Skills: Leadership, Event Management, Writing, Public Speaking, Project Management.
- Certifications: AWS Cloud Practitioner, Business English.
Workshop Ambassador | Instructional design MA, USA University of Massachusetts Amherst (Aug 2022 – Present )
Designed and updated tutorials each of 90 min long to deliver library workshops.
Led a team to create a DACSS Digital Careers portfolio of 500+ students and published as website for recruiters.
Mentored and coached 14 novice programmers resulting in 100% retention.
Data Analyst | International Outreach Student Ambassador MA, USA | University of Massachusetts Amherst (Aug 2022 – Present)
Communicated with 400+ potential and incoming students and meet them in-person or on Zoom.
Visited campus events to share information and recruit for DACSS and analyse data of 1000+ potential students.
Organized the outreach program, which grew enrollment from 6 students to 45 students in 2 months.
Senior Systems Engineer Hyderabad, India Infosys Limited (Dec 2019 – Jul 2022 )
Identified, analyzed and executed 10+ new products, services and opportunities using Open source tools.
Provided 2nd level support(troubleshooting, administering and service-restoration) for 1000+ Windows servers.
Automated 50+ scripts using Power Shell for various AD purposes and increased efficiency by 72%.
Collected & converted 5 years data into actionable insights by predicting and modelling outcomes using Tableau.
Prepared reports by Excel and using the predicted data and interacted with client decreasing incidents by 56%.
Data Analyst Intern | Embedded design Hyderabad, India Centre for Development of Advanced Computing (Apr 2018 – May 2018)
Accumulated, Manipulated and Visualized the collected data to get the 96% accurate outputs.
Studied and explained the theoretical and practical understanding of Embedded C for 40+ students.
Collaborated with CDAC and gathered an in-person 2 hours workshop which lead to growth of program by 46%.
- Bank Customer Churn Prediction and Factor Classification: Implemented exploratory data analysis, manipulation to predict the churn factors using numpy, pandas and matplotlib. Accomplished comparative Analysis between KNN & Matrix Factorization and obtained 91% efficiency.
- Symptom Diagnosis and Disease Prediction Analysis: Gathered data using web-scrapping methods by rvest. Tokenized, assembled and encoded the data into algorithms, achieving 78% accuracy. Categorized the algorithms and accumulated the disease prediction from symptoms.
- Quantitative Analysis of Olympics Data: Mined and analyzed Olympics data to classify category specific using the regression to achieve a model accuracy of 84% performed data wrangling techniques, combining multiple flat files using SQL joins, imputing missing values and statistical analysis.
- The Smart Helmet: Cleansed and transformed unstructured data using SQL procedures, Python & descriptive statistical methods. Interpreted daily accident rate data and preventive procedures. Provided recommendations on a micro controller connected GSM and GPS module known enough to find accident location if it occurs and a message enable device and achieved 80% accuracy