Damanpreet Singh

Data-Driven Analyst | M.Sc. (Hons.) Mathematics

Chandigarh, IN.

About

Highly analytical and data-driven professional with a robust foundation in mathematics and advanced problem-solving skills, eager to translate complex datasets into actionable business insights. Proficient in Python, SQL, Tableau, Power BI, and Excel, with hands-on experience in developing dashboards, conducting in-depth data analysis, and designing key business metrics. Currently enhancing expertise in data cleaning, KPI tracking, and stakeholder-focused storytelling through the Google Data Analytics Certificate, aiming to deliver impactful, data-informed decisions.

Work

IIT Kanpur

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Research Intern

Kanpur, Uttar Pradesh, India

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Summary

Conducted advanced mathematical research and algorithm development, focusing on numerical approximation techniques for function analysis.

Highlights

Developed and implemented a numerical algorithm in MATLAB to approximate functions from discrete data, significantly enhancing computational efficiency and data visualization through graphical analysis.

Replicated and rigorously analyzed the numerical solution in Python, leveraging advanced analytical reasoning to ensure consistency and validate mathematical models.

Applied advanced Hermite interpolation and Fourier continuation strategies, achieving significant improvements in approximation smoothness, accuracy, and numerical stability.

Demonstrated strong mathematical modeling and problem-solving skills by developing robust solutions for complex approximation challenges.

Volunteer

Mentor, Online Foundation Course in Mathematics (OFCM)

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MTTS Trust

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Provided academic mentorship and support to undergraduate students in advanced mathematical concepts through the MTTS Trust's Online Foundation Course.

Highlights

Mentored first-year and second-year undergraduate students in mathematical concepts, significantly enhancing their foundational understanding and problem-solving abilities.

Provided academic guidance and support, contributing to the successful completion of the Online Foundation Course in Mathematics.

Acknowledged for valuable contributions by both participants and organizers for fostering a positive learning environment.

Education

Panjab University

Chandigarh, Punjab, India
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M.Sc. (Hons.) Mathematics Grade:

Courses

Calculus

Linear Algebra

Differential Equations

Numerical Methods

Probability

Statistics

Panjab University

Chandigarh, Punjab, India
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B.Sc. (Hons.) Mathematics Grade:

Awards

Joint CSIR-UGC National Eligibility Test (NET)

NTA

Cleared the national eligibility test for Assistant Professorship and Junior Research Fellowship, demonstrating advanced academic proficiency.

Post Matric Scholarship

MoE, Government of India

Awarded a scholarship under the Central Sector Scheme for five years (2018-2023), providing financial support for higher education.

HP Udaan Scholarship

HP India

Recognized as one of 225 undergraduate students awarded the scholarship for three years (2018-2021) for academic excellence.

IIT JAM (MA) and GATE (MA)

IISc Bengaluru and IIT Bombay

Qualified for postgraduate admissions to premier Indian institutes, validating strong mathematical aptitude.

Languages

English

Certificates

Google Data Analytics Professional Certificate

Coursera | Google

Skills

Programming Languages

Python, Java, HTML, MATLAB.

Data Analysis & Visualization

SQL, Tableau, Power BI, MS Excel, Pandas, Matplotlib, Seaborn, Jupyter Notebook, Data Cleaning, Exploratory Analysis, Dashboarding, KPI Tracking.

Mathematical & Statistical Tools

SageMath, Maple, LaTeX.

Machine Learning

scikit-learn, Logistic Regression, Random Forest, Hyperparameter Tuning, Model Evaluation.

Mathematical Foundations

Calculus, Linear Algebra, Differential Equations, Numerical Methods, Probability, Statistics, Trigonometric Polynomials, Hermite Interpolation, Fourier Continuation.

Professional Skills

Teamwork, Effective Communication, Problem Solving, Leadership, Adaptability, Critical Thinking, Mathematical Modelling, Analytical Reasoning.

Projects

Credit Card Fraud Detection (Self-Initiated)

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Summary

Utilized Python, Pandas, scikit-learn, Matplotlib, Seaborn, and Jupyter Notebook to build a robust credit card fraud detection system.