Aravind Gunasekaran
systems engineer
Chennai
Summary
Experienced data science practitioner with a strong background in analytics and machine learning. Proficient in developing classification models, conducting exploratory data analysis (EDA), and providing valuable data-driven insights. Demonstrated expertise in utilizing data analyzing tools to solve complex business problems within the banking, energy, and marketing sectors. Seeking an opportunity to contribute analytical skills and a passion for data-driven decision-making to drive organizational success.
Overview
5
5
years of professional experience
6
6
years of post-secondary education
4
4
Certifications
Work History
Systems Engineer
Tata Consultancy Services
5 2021 - Current
- Worked on developing a multiclass classification model where Random Forest model gave the highest accuracy with more weightage to false negative
- The model labels the tickets priority so that tickets were addressed effectively, in turn reducing user level escalations
- Performing exploratory data analysis (EDA) on help desk data, uncovering valuable insights and identifying areas for improvement
- These findings facilitated the implementation of changes to enhance efficiency
- Developed a classification model using infrastructure data to effectively recommend necessary upgrades or cluster migrations
- Collaborating with cross-functional teams to resolve complex technical issues
- Delivering data-driven presentations to clients, on Weekly basis driving business growth and informed decision-making
- Contributed towards continuous improvement initiatives aimed at streamlining internal processes and enhancing overall service delivery quality.
Solar Analyst Engineer
Ensun Energy Systems PVT LTD
01.2020 - 04.2021
- Designed the solar power plant which involves simulation to find the shadow free area, layout preparation and installation of the plant
- Analyzing the performance of the plant by using various features such as solar insolation in the particular latitude and longitude, temperature, time of the day, voltage levels etc
- Feature Engineering of missing data and generated reasonable report
- Generated and Dashboards and prepared performance analysis reports of Solar generation
Data Science Intern
Credo Systemz
07.2019 - 12.2019
- Developed a customer propensity engine
- The propensity analysis was done with various algorithm models (Linear, Logistics Regression, SVM, Decision Tree, Random Forest and the best model is selected using evaluation techniques
- Conducted sentiment analysis with NLTK Package and used Naïve Bayes Algorithm to identify Customer satisfaction level
Education
M.E. - Solar Energy
Anna University
01.2017 - 01.2019
B.E. - Electrical And Electronics Engineering
Jeppiaar Engineering College
01.2013 - 01.2017
Skills
Data Analysis
Certification
Certification in Data Science and their techniques from Credo Systemz
Accomplishments
- Won Intel neural stick for participating in 20/20 Vison Hack by intel.
- Won Cash Prize as SOLAR WARRIOR from Tamil Nadu Energy Development Agency (TEDA) for canvasing maximum Installation Roof-Top Solar Project.
- Infosys awarded 'Infymaker Award' for 'Maritime Border Warning System', being one among the top 20 innovative ideas in India in 2016.
Industryexperience
- Banking
- Energy sector
- Marketing
Hobbies
Enthusiastic about e-sports, recreational activities like badminton and carrom, and staying updated on technological advancements through YouTube content.
Timeline
Solar Analyst Engineer
Ensun Energy Systems PVT LTD
01.2020 - 04.2021
Data Science Intern
Credo Systemz
07.2019 - 12.2019
M.E. - Solar Energy
Anna University
01.2017 - 01.2019
B.E. - Electrical And Electronics Engineering
Jeppiaar Engineering College
01.2013 - 01.2017
Systems Engineer
Tata Consultancy Services
5 2021 - Current
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