Project Engineer Greater

CHITTI BABU SUGGUNA

*****************@*****.*** +1-443-***-**** linkedin.com/in/chitti-babu-sugguna-1212b6b7/ EDUCATION:

University of Maryland Baltimore County GPA: 3.82 Aug ‘19 - May ‘21 Master of Sciences in Information Systems.

Coursework: Advanced Database Project, Management Information Systems, Distributed Systems, Data Mining, Big Data Techniques and Fundamentals, Data Structures and Algorithms in Python. SKILLS AND INTERESTS:

Programming: Core Java, Python, R.

Web Technologies: CSS, HTML, XML.

Database: SQL, PL/SQL, MySQL, Oracle.

IDE/Tools: Tableau, MS Excel, Informatica Power Centre 9x, Data stage 11.5, Autosys, ServiceNow,Toad. Familiar: Git, Agile, SDLC.

Math: Statistics, Probability

Other Skills: Communication Skills, Quantitative skills, Problem solving, Decision making, Data Analysis. WORK EXPERIENCE:

Project Engineer, Wipro Technologies Jun ‘16 – Jul ‘19 Client Name: State Street Corporation (USA)

Objective: To develop and support ETL programs using Informatica and PL/SQL procedure as per the business requirement.

• Closely work with clients to understand their requirements and issues and preparing an Analysis report.

• Built an ETL workflow which loads data into tables and clients can generate reports for their daily/monthly reporting to Federal Government this application generated 100K USD as revenue from the clients to Wipro.

• Involved in enhancements and maintenance activities of data warehouse including tuning, modifying of stored procedures for code enhancements which helped in decreasing the testing time by 33%.

• Proposed a feature to generate client reports through web which reduced the company cost by 47% and saves 300K USD per year.

ACADEMIC PROJECTS

Course registration System.

• An advanced database project using SQL, PL/SQL and implemented 16 features for a complete university course registration system.

• This Project will be used by the university for their course registration for 1000+ students each year YouTube Trending Video Analysis

• Applied Linear regression and predicted likes and comments for a video, applied sentiment analysis (NLP) on the video title to find out what kind of titles can fetch a greater number of views based on polarity and subjectivity of the title.

• From the results we have made few suggestions that can increase the views for the YouTube videos by just changing the title of the video

• Received Best Innovative idea for the project based on the voting from 200+ students and 15 professors. Streetlight outages will increase crimes (Hypothesis: If there is an outage then there is chance of crime).

• Applied Machine learning algorithms on the dataset by combining them with streetlights data to prove the hypothesis and visualized the results using tableau.

• Worked on data preprocessing and data cleaning of dataset which contained 4million records and 40+ columns and generated Poisson generalized linear models to analyze the results of the combined dataset. Utilizing R.

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