Tarun Chandra

Consultant

Hyderabad, Telangana, India3 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Data Science and Machine Learning.
  • Proven track record in Digital Banking Analytics.
  • Strong foundation in API Management and Infrastructure Development.
Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Environmental Science.

Contact

Skills

Core Skills

Data ScienceData AnalysisApi ManagementMachine LearningInfrastructure Management

Other Skills

SQLPython (Programming Language)APIGEEData Pre-processingXG BoostRandom ForestGradient BoostingKubernetesTerraformBash ScriptingPythonNatural Language Processing (NLP)Multinomial Naive BayesApigee API ManagementMicrosoft Excel

About

An avid learner and problem solver

Experience

3 yrs 8 mos
Total Experience
2 yrs 6 mos
Average Tenure
1 yr 1 mo
Current Experience

Mastercard

Consultant(Analytics & Data Science)

Apr 2025Present · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

Icici bank

2 roles

Data Scientist(Manager1)

Aug 2023Mar 2025 · 1 yr 7 mos

  • Working on Digital banking Analytics, mainly focussed on Discover Application, a PFM(personal Finance Management)tool in I-Mobile App.
SQLPython (Programming Language)Data ScienceData Analysis

IT Analyst(Management trainee)

Jul 2022Jul 2023 · 1 yr

APIGEESQLAPI Management

Indian institute of technology, kharagpur

Machine Learning Project Intern

Aug 2021Dec 2021 · 4 mos

  • Forecasting PM 2.5 Using Machine Learning models
  • Initially previous years data of Kanpur city was collected from CPCB website. This data includes
  • Meteorological and air quality parameters.
  • Then the data was pre-processed and divided data set into training and testing data set.
  • Then fit the XG Boost, Random Forest and Gradient boosting models on training data and trained the model.
  • Applied the trained XG Boost, Random Forest and Gradient boosting models on the test data and predicted the pm 2.5 values.
  • Finally, calculated the RMSE value of each of the model prediction and decided the best model among the three models.

Appviewx

Software Development Intern

Apr 2021Aug 2021 · 4 mos · Bangalore Urban, Karnataka, India

  • Worked on developing AppViewX infrastructure using technologies like Kubernetes, Terraform, Bash scripting, python

Expertshub

Data Science Intern

Dec 2019Jan 2020 · 1 mo · Hyderabad, Telangana, India

  • Created a model on Fake News Detection using Machine Learning and achieved accuracy of 92% for our test set.
  • Used NLP to process the given news and predicted whether given news is real or fake.
  • Initially data was cleaned by removing stop words. Then Tfidf vector was initialized and calculated Tfidf
  • scores of words for knowing which words are important in predicting the given news. Later Multinomial
  • Naive bayes classifier was used for classifying it as Fake or Real. Finally created user interface for hosting my model on web.

Education

Indian Institute of Technology, Kharagpur

Dual Degree ( B.Tech+ M.Tech )

Jul 2017May 2022

Stackforce found 100+ more professionals with Data Science & Data Analysis

Explore similar profiles based on matching skills and experience