Dipankar Adhikary

Positions of Responsibility

● Manager, Data Team, NITTSAC: Sep 2020-23

Worked as a Manager of NITTSAC Team, Student Alumni Cell of NIT, Trichy aiming toward building
relationships among students and alumni. I have handled various technical responsibilities and
approached alumni to conduct workshops, webinars and internships for the welfare of students.

● Coordinator, Organising Committee, Pragyan: Sep 2020 - 23

Worked as a Coordinator of Organising… Show more

Positions of Responsibility

● Manager, Data Team, NITTSAC: Sep 2020-23

Worked as a Manager of NITTSAC Team, Student Alumni Cell of NIT, Trichy aiming toward building
relationships among students and alumni. I have handled various technical responsibilities and
approached alumni to conduct workshops, webinars and internships for the welfare of students.

● Coordinator, Organising Committee, Pragyan: Sep 2020 - 23

Worked as a Coordinator of Organising Committee of Pragyan’19, an international techno-
management festival of NIT Trichy. As a part of Inventory team, the work specifically involved in
arrangement of various requirements for an event to be conducted. And worked
in other teams of Organising Committee such as Disciplinary Committee (Disco) and Venue
Management Team (VMT).

● Green Techie Head, Leap Club: Aug 2020 -23

Worked as Green Techie Head at Leap Club, Environmental Awareness Club of NIT, Trichy. Show less

Internship Experience
● Summer Research Internship at NIT Trichy: Jun 22 – Jul 22

In this project, I have worked on the heart failure dataset and used attributes to plot the main factors
that truly increased the probability of Heart failure and completed the project by visualizing four
features which have more correlation with death event. According to the accuracy score, we select
KNN Algorithm, RFClassifier and cat boost to predict more effectively. K-Nearest Neighbour… Show more

Internship Experience
● Summer Research Internship at NIT Trichy: Jun 22 – Jul 22

In this project, I have worked on the heart failure dataset and used attributes to plot the main factors
that truly increased the probability of Heart failure and completed the project by visualizing four
features which have more correlation with death event. According to the accuracy score, we select
KNN Algorithm, RFClassifier and cat boost to predict more effectively. K-Nearest Neighbour model as a result 86% accuracy was found.

● Big-Basket Products analysis with XGBoost: May 22

In this project, I had used the 28k dataset of Big-Basket to analyse how the price values affect the
target values of products and used XGBoost algorithm to predict the price that target the consumers.
In the data points, I handled the missing and categorical values to see the distributions and used the Min-Max Scaler for exploratory data analysis. Show less