N Tejas
Monitoring Committee Representative at INSPIRE - The Incubation Centre of IIM Bodh Gaya- Claim this Profile
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English Native or bilingual proficiency
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Hindi Native or bilingual proficiency
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Tamil Full professional proficiency
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Kannada Full professional proficiency
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Telugu Professional working proficiency
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Bio
Experience
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INSPIRE - The Incubation Centre of IIM Bodh Gaya
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India
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Non-profit Organizations
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1 - 100 Employee
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Monitoring Committee Representative
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Dec 2022 - Present
• Serving as the liaison between startups and IIM BG management, led the development of the Campus Startup Policy, and successfully launched 4 campus startups. • Facilitated startups' operational launch in IIM BG campus in August 2023 with teams of 3 founders; supported and mentored the 3 food startups and 1 podcast startup in the Incubation process • Serving as the liaison between startups and IIM BG management, led the development of the Campus Startup Policy, and successfully launched 4 campus startups. • Facilitated startups' operational launch in IIM BG campus in August 2023 with teams of 3 founders; supported and mentored the 3 food startups and 1 podcast startup in the Incubation process
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Lucy Family Institute for Data & Society
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United States
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Higher Education
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1 - 100 Employee
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Data Analyst and Research Associate
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May 2023 - Jul 2023
1. Implemented NLP-driven paper-institute matching techniques using Python, TF-IDF, and cosine similarity algorithms to enhance the Pace-Web Application 2. Developed clear and comprehensive documentation of the implemented codes and methods, resulting in significant time savings for the Lead Data Scientist 3. Worked with Accenture on the Health Equity project, conducting literature reviews and NLP cluster analysis 4. Communicated with a client, Perscholas, to articulate… Show more 1. Implemented NLP-driven paper-institute matching techniques using Python, TF-IDF, and cosine similarity algorithms to enhance the Pace-Web Application 2. Developed clear and comprehensive documentation of the implemented codes and methods, resulting in significant time savings for the Lead Data Scientist 3. Worked with Accenture on the Health Equity project, conducting literature reviews and NLP cluster analysis 4. Communicated with a client, Perscholas, to articulate their issues clearly and request the appropriate datasets 5. Revamped AETL’s revenue model, adopting base-cost assignment scoring, resulting in a more equitable and accurate pricing structure aligning with the actual value delivered to clients, eliminating prior inefficiencies Show less 1. Implemented NLP-driven paper-institute matching techniques using Python, TF-IDF, and cosine similarity algorithms to enhance the Pace-Web Application 2. Developed clear and comprehensive documentation of the implemented codes and methods, resulting in significant time savings for the Lead Data Scientist 3. Worked with Accenture on the Health Equity project, conducting literature reviews and NLP cluster analysis 4. Communicated with a client, Perscholas, to articulate… Show more 1. Implemented NLP-driven paper-institute matching techniques using Python, TF-IDF, and cosine similarity algorithms to enhance the Pace-Web Application 2. Developed clear and comprehensive documentation of the implemented codes and methods, resulting in significant time savings for the Lead Data Scientist 3. Worked with Accenture on the Health Equity project, conducting literature reviews and NLP cluster analysis 4. Communicated with a client, Perscholas, to articulate their issues clearly and request the appropriate datasets 5. Revamped AETL’s revenue model, adopting base-cost assignment scoring, resulting in a more equitable and accurate pricing structure aligning with the actual value delivered to clients, eliminating prior inefficiencies Show less
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Bihar Rural Livelihoods Promotion Society (JEEViKA)
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India
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Non-profit Organizations
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700 & Above Employee
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Project Intern
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Mar 2023 - Apr 2023
• Collected data and devised predictive statistical models using R to optimize stakeholder selection, resulting in a 90-minute reduction in decision-making time on average per prospective stakeholder • Conducted qualitative research on Jwires customers through in-depth interviews to provide a framework for winning bids on government tenders • Collected data and devised predictive statistical models using R to optimize stakeholder selection, resulting in a 90-minute reduction in decision-making time on average per prospective stakeholder • Conducted qualitative research on Jwires customers through in-depth interviews to provide a framework for winning bids on government tenders
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Education
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Indian Institute of Management Bodh Gaya
Integrated Program in Management, Business/Managerial Economics -
Delhi Public School - India
NIOS, Mathematics and Computer Science -
Kendriya vidyalaya