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Hi, I am Nikitha Banda

I am a Data An|

Nikitha Banda

Data Analyst & Postgraduate Master Specializing in Analytics

Being fasinated by the concept of turning data to value, I am now an aspiring data scientist with 2 years of experience in software development. The journey I have had since venturing into the world of data is what this blog is about. Hope you have a fun and insightful read! :D Check out my GitHub page to stay in the loop of more exciting data science content.

Fast Learner
Team Work
Communication
Hard Working
Problem Solver

Skills

Experiences

1
Data Analyst
DBS

Mar 2022 - Present, Singapore

DBS Bank Limited is a Singaporean multinational banking and financial services corporation. It is a leading financial services group in Asia.

Responsibilities:
    Product Analytics Intern
    Lenovo

    May 2021 - Nov 2021, Singapore

    Lenovo is a widely recognized multinational technology company.

    Responsibilities:
    • Executed projects that provide data-driven insights on portfolio optimization of desktops and SMBs for Lenovo globally by means of building and enhancing time series models that drive revenue and market share growth by forecasting product sales across different product segments.
    2
    3
    Software Engineer
    Monarch Info Tech Services

    July 2018 - July 2020, Singapore

    A service-based company that extends strategic consulting, end to end ECM and BPM integration services

    Responsibilities:
    • Worked productively with client’s product team to understand the requirements and spearheaded the project development of java batch files that automates data extraction from databases, cleaning and writing into required file formates.

    Education

    Singapore Management University
    Aug 2020-Jan 2022
    Master of IT in Business (Analytics Track)
    Vasavi College of Engineering
    2014-2018
    Bachelor of Engineering in Computer Science & Engineering

    Projects

    Loan Deafult Prediction
    Loan Deafult Prediction
    Owner Jan 2022

    Classification Models self learning
    Visual Investigation
    Visual Investigation
    August 2021

    This is an visual investigation based on VAST Challenge 2021 - The Kronos Incident Mini Challenge 1.

    R R Shiny App Interactive Visualizations VAST Challenge 2021 academic
    Details
    Food Recipe Recommendation
    Food Recipe Recommendation
    August 2021

    To build an application that recommends recipes based on user’s preference.

    Recommender Systems cornac package academic
    Details
    Data Processing in R
    Data Processing in R
    Owner July 2021

    This website is the documentation of data preparation and static visulazations steps in R based on VAST Challenge 2021 - The Kronos Incident Mini Challenge 1 data.

    R Distill Website Data Preparation Static Visualizations VAST Challenge 2021 academic
    Details
    Fake Job Post Detection Using Machine Learning
    Fake Job Post Detection Using Machine Learning
    April 2021

    Designing various classification models such as logistic regression, One Class SVM, Random Forest Classifier along with tackling imbalanced dataset by ensemble method and evaluating them.

    Classification Models Fake/Real academic
    Details
    SMU SeatFinder (IoT)
    SMU SeatFinder (IoT)
    April 2021

    Solution aims to provide a more pleasant and safe experience for the user by incorporating an IoT solution, with the growing need due to safe entry measures to limit the number of visitors to the library.

    Iot Sensors Visualizations academic
    Details
    COE Pricing Model
    COE Pricing Model
    December 2020

    Modelling a time series forecast to predict future COE prices based on supply and demand chain by simulating historical data patterns.

    Spreadsheet Influence Diagram Linear Regression academic
    Details
    Forces and Factors Driving Global Terrorism - Insights for a Safer World
    Forces and Factors Driving Global Terrorism - Insights for a Safer World
    November 2020

    This study aims to reveal objective insights on terrorism and its correlated factors. Analysis in this study consists of two parts- descriptive and inferential statistics.

    Regression R Shiny academic
    Details
    Business Insights in the Indian Restaurant Market
    Business Insights in the Indian Restaurant Market
    November 2020

    This research is explanatory in nature. It aims to provide insights to understand the dining behavior and preferences of people in India by employing interactive data insights and restaurant segmentation through cluster analysis.

    JMP Pro IDEA academic
    Details

    Recent Posts

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    DataViz Makeover #2

    1.0 Introduction This makeover is also based on merchandise trade volume of Singapore provided by Department of Statistics (DOS). The data can be found here under the sub-section “Merchandise Trade by Region/Market”. As part of this visualization, all countries are considered and trades based in January 2011 to December 2020 are used. Note: To create the visualization in this Dataviz, Tableau and Tableau Prep Builder are required 2.0 Critic of Original Visualization 2.

    June 17, 2021 Read
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    DataViz Makeover #1

    1.0 Critic of Visualization 1.1 Original Visualization The original visualization is as below 1.2 Critic Clarity The title partially conveys the intent of the graph. In this case, the graph is showing 2021 in most of the chart’s x-axis however, the title says 2019 to 2020 and also the title mentions top 6 but we are not sure of the ranking of these 6 countries based on the graph provided.

    May 30, 2021 Read
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    About Dataviz Makeovers

    All posts under “DataViz Makeover”" are part of the coursework Visual Analytics and Applications under MITB Analytics track. The purpose of these makeovers is to critique the original visualizations interms of clarity and aesthetics and improve it to convey a better and reliable story. Timeline: May 30th - First dataviz makeover was created. It is based on merchandise trade of Singapore with top 6 markets for 2019-2020.

    May 24, 2021 Read