$ whoami
Kanishka Chahar
M.Sc. Mathematics (Computing) @ IIT Delhi. Turning abstract numbers into actionable business decisions.
// about me
The Intersection of Math & Data
I believe data is the key to real progress. While I began with a love for Mathematics, it was Statistics that showed me how to turn abstract numbers into practical, real-world solutions.
My purpose became clear during a research project on System Reliability Analysis — building models to calculate component risks and estimate maintenance costs. I realized I wanted to directly influence important business decisions through data.
This led me to pursue my M.Sc. in Mathematics (Computing) at IIT Delhi, where I'm mastering advanced statistical methods and machine learning.
class Kanishka:
education = "M.Sc. Math (IIT Delhi)"
undergrad = "B.Sc. Hons Math (MUJ)"
gpa = {"iitd": 7.4, "muj": 9.61}
strengths = [
"Deep Analytical Thinking",
"Statistical Modeling",
"Visual Communication",
"Leadership & Discipline"
]
seeking = "Data-driven roles"
status = "Open to opportunities"// skills
Technical Arsenal
Languages & Tools
Libraries & Frameworks
Data Skills
Mathematics
// achievements
Recognition & Awards
// publications
Research & Publications
Reliability and Signature Evaluation of Juice Clarification Systems of Sugar Industry
Ashish Kumar, Kanishka, Monika Saini
International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2025)
Lecture Notes in Networks and Systems (Vol. 1525), Springer Nature
Modeled a complex 8-subsystem industrial Juice Clarification unit as a quantitative reliability problem — transforming real-world manufacturing risk into actionable maintenance insights. Applied reliability block diagram techniques and probabilistic methods (Owen's and Boland's approaches) to evaluate system signature, tail signature, minimal signature, and the Barlow–Proschan Indicator. Computed Mean Time to Failure (MTTF) and expected cost rate to enable data-driven decisions on predictive maintenance scheduling, reducing unplanned downtime and optimizing operational expenditure in industrial settings.
// projects
Featured Work
MTL5004 – Computer Programming | Data Analysis Project
Women's Representation in Asian Parliaments (1945–2018)
IIT Delhi • Oct 2025
End-to-end data analysis across 29 Asian countries over seven decades, uncovering policy-driven improvements in women's parliamentary representation.
- ▹Cleaned & integrated multi-source datasets for cross-country comparability
- ▹Identified long-term trends and regional leaders
- ▹Communicated insights through time-series & distribution visualizations
// experience
Where I've Worked
Intern – Data Services
@ Delhivery Limited, Gurgaon
- ▹Working on data services at one of India's largest logistics companies
- ▹Applying data analysis and problem-solving skills in a fast-paced operational environment
@ Chegg India
- ▹Solved high-volume undergraduate and advanced-level mathematics problems with high accuracy
- ▹Delivered structured, well-documented solutions under strict quality benchmarks
- ▹Consistently maintained strong quality ratings across assignments
Graphic Designer
@ AIC-MUJ (Atal Incubation Center)
- ▹Designed digital creatives using Adobe Photoshop and Premiere Pro for institutional branding
- ▹Collaborated on communication and marketing material for incubation initiatives
@ Manipal University Jaipur
- ▹Led the university mathematics club, overseeing academic initiatives and problem-solving sessions
- ▹Coordinated events, peer-learning discussions, and inter-student collaboration
- ▹Strengthened student engagement and mathematical culture on campus
// certifications
Courses & Certifications
Diploma in Data Science
IIT Madras
Completed first semester with GPA 9/10. Exited to pursue M.Sc. at IIT Delhi.
Introduction to Programming with MATLAB
Vanderbilt University (Coursera)
Programming fundamentals using MATLAB
Introduction to Graph Theory (With Honors)
UC San Diego (Coursera)
Completed with Honors distinction
Data Science / ML Mentorship Program (DSMP 2.0)
CampusX
Comprehensive data science and machine learning mentorship
// contact
Let's Connect
I'm actively seeking data-driven roles where I can contribute from day one. Open to full-time Data Scientist and Data Analyst positions.