Education
Pilani, Rajasthan
Major Degree: Integrated M.Sc. in Mathematics & B.E. Computer Science
CGPA: 8.3/10.0
Minor Degree: Data Science
CGPA: 9.5/10.0
Duration: 2019-2024
City Montessori School, Gomti Nagar Campus 1
Lucknow, Uttar Pradesh
Course: ISC
Percentage: 96.25%
Duration: 2017-2019
Experience
- Worked with the LiveHelp team of myHR, which managed the Chat and Call feature to connect the Amazonians with HR team.
- Developed the read-receipts feature and delivered it end-to-end for both the customer (video) and agent (video) portal with support to 18 languages and cross website movement.
- Standardized the post chat customer survey form across 7 business line and correctly tagged the survey in case of line transfer.
- Updated an existing API to send flags which were consumed in the website to release features in waves.
- Tools: React, Typescript, Java
- Worked under Mr. B. Aashranth, Scientific Officer'D', under the Metallurgy & Materials group.
- Developed ML pipeline for data-driven classification tasks and automated labeling and analysis of microstructural images.
- Leveraged Computer Vision tools for feature identification and measurement to obtain a 77% matching score.
- Tools: Python (Libraries: NumPy, Matplotlib, Scikit-Learn, Scikit-Image, and OpenCV)
- Worked under Dr. Alok Dixit, Department of Finance & Accounting on time series modeling and forecasting on the NIFTY 50 TRI data.
- Performed data cleaning, exploratory data analysis and compared time series models like the AR, MA, ARIMA, SARIMA and ARCH.
- Tools: Python (Libraries: NumPy, Pandas, statsmodels, Seaborn and Scikit-Learn)
- Conducted research & analysis of 2 sectors(IT and Pharmaceutical), and 2 Indian companys in each sector.
- Carried out Porter analysis & SWOT Analysis of companies and peer graded other interns' work.
- Built a portfolio for 2 months on the Finlatics stock market simulator, starting with Rs. 2 lakh virtual cash and finished with 2.5 lakhs.
Projects
Social Network modeling to study virus spread and provide counter measures
Duration: March 2023 - Ongoing
- Working with Dr. Ahad Zehmakan to model virus spread in a social network to find interventions to reduce the population affected.
- Performed simulations and proposed & developed experiments to reduce the virus spread by using network properties.
- Currently working on developing strategies based on network properties and their physical significance to devise more effective solution.
- Tools: Python (Libraries: NumPy, NetworkX, NetworKit)
Increasing the features in GPlan and working on a data-driven approach.
Duration: September 2022 - Ongoing
- Working with Dr. Krishnendra Shekhawat to develop Rule-based GPlan, a data driven approach to GPlan.
- Implemented dimensionality constraints on floorplans with corridors and to non-rectangular rooms.
- Currently working on graph transformation to reduce time complexity for finding floorplan satisfying user given symmetry constraints.
- Tools: Python (Libraries: NetworkX, Tkinter, Turtle and FPDF)
- Video: Generation of Non-rectangular rooms can be seen here
Visualizing live LCA data for product optimization using mixed reality.
Duration: September 2022 - January 2023
- Worked in collaboration with TU Braunschweig on a mixed reality project sponsored by Volkswagen & DAAD.
- Discussed current visualization techniques, explored the use of extended reality in literature, and incorporated visual analytics in its UI.
- Developed a prototype to visualize an ebike & generate plots to help in choosing ideal material for different parts for sustainable production.
- Tools: C#
Building GPlan, a Python based software automating floorplan generation.
Duration: September 2021 - August 2022
- Worked with Dr. Krishnendra Shekhawat to develop GPlan, a software that accepts graph-based input to generate architectural floorplans.
- Devised an algorithm to generate floorplans for one connected graphs and contributed to the generation of dimensioned floorplans
- Implemented block based symmetry in floorplans for both one-connected & biconnected graphs.
- Tools: Python (Libraries: NetworkX, Tkinter, Turtle and FPDF)
- Video:Generation of Symmetric floorplans can be seen here
Simulation of the monopoly game.
Duration: October 2021 - November 2021
- Simulated the classic US variant (2008 - 2021) of the Monopoly game implementing the concepts of object-oriented programming in Java.
- Created UML diagram, implemented design patterns and developed a GUI using Javafx to display the game board while the players are playing.
- Tools: Java & JavaFx
Modified the Google PageRank algorithm to account for webpage content relevance.
Duration: March 2021 - May 2021
- Worked under Dr. Anirudh Rana to explore the application of Markov Chains in webpage ranking.
- Designed a ranking algorithm based on the PageRank Algorithm by incorporating keywords of the metadata in sequencing links.
- Tools: Python
Console based text editor in C.
Duration: March 2020 - May 2020
- Built a fully-functional text editor capable of being executed in the terminal
- Added advance features like word-searching, saving a file and editing in the middle of a file.
- Improved user experience by building a UI in the terminal for the editor and making use of colors in text.
- Tools: C
Publications
Skills & Certifications
Languages and Databases
Libraries
Certifications
Awards & Achievements
Academic Volunteering
Teaching Assistant
Department of Computer Science & Information Systems
- Machine Learning: Teaching R programming with a focus on using R libraries to implement machine learning algorithms to 50+ undergraduate students.
- Microprocessor Programming & Interfacing: Developed study material and taught Assembly Language programming to 40+ sophomores.
- Computer Programming: Taught basic concepts of Unix and programming in C to 100+ freshmen.
Stedent Representative, Student Faculty Council
Department of Mathematics
- Presented the challenges faced by students and suggested changes in curriculum, course delivery & evaluation methodology.
- Discussed & helped formulate decisions on grading, online lectures and examinations during COVID lockdown.
- Conducted student surveys to collect opinion about the preferred electives and proposed them to the council.
Clubs
Core Member
Microsoft Learn Student Ambassador
- Helped in ideation and organisation of Cyber Houdini, a capture the flag event in APOGEE (the annual college Techfest) 2021.
- Arranged a workshop from Microsoft professionals on Azure & participated in Indian Workshop on Applied Deep Learning (IWADL).
Student Mentor
Peer Mentorship Programme
- Helped the freshmen of the batch of 2020 in getting acquainted with college and settle in online mode of education.
- Assisted them in different academic procedures like semester registration, applying for scholarships and suggested them electives to pursue.
Core Member
Students' Academic Cell
- Hosted 'Summer Internship Prep Talk' to help over 400 students prepare for the summer internship season of 2021.
- Organized 'PreCompre Talk' for the batch of 2020 to help them prepare for their first end-semester examinations.