Student Success Story

Punitha

V. V. Vanniyaperumal College for Women

Student IDPYDS8118
DepartmentMathematics
DegreeMaster of Science
Year1st Year (2024 - 2026)

Outstanding Performance Award Recipient

Data Science & Analytics with Applied Mathematics internship

( June 2025 )

V. V. Vanniyaperumal College for Women

Hosted byPydun Technology Private Limited

Punitha, an M.Sc. Mathematics student from V.V.Vanniyaperumal College for Women, joined the 30-Hour internship in Data Science & Analytics with Applied Mathematics with a deep desire to explore how mathematics powers modern analytics.

Despite having no prior hands-on experience in data science tools, she quickly adapted to new technologies and learning methodologies. Her performance, active engagement, and thoughtful application of mathematical logic stood out remarkably.

She did not just complete the tasks, she brought clarity, precision, and creativity to them. Her exceptional drive and consistent performance earned her the Outstanding Performance Award, a recognition she wholeheartedly deserved.

The Challenge

Punitha entered the internship with strong mathematical knowledge but limited exposure to real-world data applications. Working on her project-Consumer Expenditure Pattern Analyser, she faced challenges in handling messy datasets, understanding data pre-processing, and selecting appropriate visual tools.

Transitioning from theoretical math to applied data science demanded learning Python, Pandas, and data visualization techniques. Concepts like feature selection, exploratory data analysis, and pattern recognition were initially overwhelming.

Despite the steep learning curve, she remained committed, quickly adapting to industry tools and expectations. Her ability to ask the right questions and continuously revise her approach helped her tackle every obstacle with clarity and confidence.

Our Response

We recognized Punitha’s logical thinking and structured approach early on. To support her journey, we offered modular content that connected mathematical theory to real-world data science problems. Sessions were paced with practical examples to reinforce each concept. We also encouraged her to analyse real datasets and interpret outcomes using Python tools. Mentors provided prompt feedback, appreciated her inquisitiveness, and guided her on optimizing code and improving visual presentation. This support framework, combined with Punitha’s own initiative, helped her progress smoothly. She gradually moved from learning syntax to understanding data behaviour, an essential shift in mastering analytics.

Phase 1 : Accelerated Training

In the first phase, Punitha explored the core tools of data science. She started with Python basics and quickly moved on to libraries like NumPy for numerical computing and Pandas for data manipulation. We also introduced her to Matplotlib and Seaborn for visualization. Although new to coding, she applied her mathematical thinking to write clean, accurate logic. Her ability to understand statistical terms, patterns, and relationships in data was commendable. She took each mini-task as an opportunity to sharpen her skillset, completing exercises with precision and asking insightful questions during live sessions.

Phase 2 : Project Development & Mentorship

In Phase 2, Punitha focused on building a Consumer Expenditure Pattern Analyser using real-world data. She applied her mathematical understanding to identify spending trends and insights through data wrangling, visualization, and interpretation. Using Python, Pandas, and Seaborn, she cleaned data, generated meaningful plots, and extracted patterns linked to consumer behaviour. With regular mentor support, she refined her approach, optimized her code, and improved presentation clarity. She experimented with different chart types to enhance readability and decision-making. Her final project was a blend of analytical thinking and data storytelling, proving her ability to convert mathematical logic into impactful business insights.

The Outcome

Punitha emerged from the internship with hands-on experience in applying mathematics in real-world analytical contexts. She developed a solid understanding of Python-based data tools, learned to visualize trends, and built confidence in presenting findings clearly.

Her final project reflected her ability to blend theory with application something she had not explored before. More importantly, she discovered how her academic strengths could directly translate to industry-relevant skills. This transformation, in just 30 hours, was extraordinary. The internship not only expanded her technical capabilities but also gave her direction and confidence to explore data analytics as a future career path.

Punitha

Recognizing Her

Commitment

What truly set Punitha apart was her consistent commitment to learning and self-improvement. She never skipped a session, actively participated in discussions, and turned in all assignments on time. Even outside of sessions, she took time to explore beyond the basics reviewing datasets, writing extra code snippets, and clarifying doubts.

Her dedication was evident in every aspect of her performance. She did not aim for just completion she aimed for excellence. Her discipline, humble attitude, and hunger to learn made her an ideal intern. The Outstanding Performance Award was a reflection of this unshakable commitment and her remarkable progress.

Reflections from Our Team

Mr. Marimuthu

MentorPydun Technology Private Limited

Punitha was consistent and attentive throughout the internship. She showed a clear understanding of the topics and was able to apply the concepts well in practical tasks. Her ability to connect mathematical knowledge with data analysis was appreciable, and she maintained a steady learning approach during the sessions.

Ms.Sherley

Training CoordinatorPydun Technology Private Limited

Punitha’s analytical approach and consistency throughout the internship were truly commendable. She demonstrated an excellent ability to connect mathematical concepts to real-time data science tasks. What impressed me most was her dedication to understanding the ‘why’ behind every step, whether it was cleaning data, plotting graphs, or interpreting model results. Despite being new to the tools and platforms, she adapted quickly and worked with precision. Her calm, focused nature and well-organized project reflected maturity and a true learner’s mind set. She definitely has great potential to grow in the analytics and research domains

An Inspiration for Future Interns

Punitha’s journey is a testament to how academic strength, when paired with curiosity and hard work, can lead to exceptional achievements. She showed that you do not need to be a tech expert to start, you just need the courage to begin. Her story will inspire future interns to explore data science fearlessly.

Punitha proved that with consistency, focus, and mentorship, even 30 hours can lead to a strong foundation. Her success encourages others to step outside their comfort zone and embrace the exciting intersection of mathematics and modern technology.