Namrata Kasina

ad4p5v@r.postjobfree.com +91-630******* www.linkedin.com/in/namrata-kasina-bb318313a

EXPERIENCE

Junior Data Analyst: Fluentgrid Ltd Jun 2022 – Jul 2023

Led automation code for handling of files related to nuclear power plants, increasing operational efficiency

Leveraged Python to extract JSON data from the Environment API, successfully creating an EMG Dashboard for comprehensive environment monitoring

Applied data scraping techniques to enhance Power Load Factor (PLF) ranking in the SIIS Dashboard

Implemented data cleaning and preprocessing techniques, reducing data errors by 20% and ensuring the accuracy of analytical models

Process Associate/Data Analyst: Daily Rounds Feb 2021 – Jun 2022

Ensured the authenticity of Marrow users by verifying KYC documents for each PRO user, safeguarding the platform for genuine modern medicine practitioners

Applied fraud detection techniques using the Leadsquared application to identify and thwart attempts by fraudulent FMGE users, contributing to the platform's security and integrity

Assisted in implementation of automation tools, reducing manual work by 30% and minimizing errors

EDUCATION

GITAM University

Masters of Technology in Data Science, CGPA: 7.4 2018 – 2020

Vignan’s Institute of Information Technology

Bachelors of Technology in Computer Science, 64.3% 2014 – 2018

SKILLS

SQL

Python

Excel

EDA

Hypothesis Testing

Data Visualization

Dashboard Creation

Machine Learning

Data Analysis

Web Scraping

PowerBI

ETL

Data Integration

Clustering

PROJECTS

Dashboard Creation using AtliQ Hardware Dataset Oct 2023 – Dec 2023

Tech Stack: Power BI, DAX, KPI Indicator, SQL, Publish Report, M-Language, Switch, Dynamic Slicer, Tooltip

Implemented data connectivity between SQL databases and Power BI, facilitating data import and analysis

Developed data models to accurately represent relationships among various data entities and Utilized Power Query to cleanse and refine data, ensuring data integrity and readiness for analysis

Stock Market Prediction using ML Techniques Jul 2019 – Apr 2020

Tech Stack: ML, ARIMA, Auto ARIMA, LSTM (DL technique), EDA, RMSE, AIC, Neural network

Gathered data from Tata Global Beverages and conducted exploratory data analysis to derive insights

Employed Auto ARIMA and LSTM techniques to enhance accuracy in predicting stock prices

Text Classification on Amazon Reviews Aug 2019 – Oct 2019

Tech Stack Used: NLP, Naive Bayes Classifier, Text Classification, Confusion Matrix, AUC_ROC Curve, F1 Score

Incorporated tokenization, stop word removal, and lemmatization techniques to enhance text classification

Employed the Naive Bayes Classifier method with Tf-Idf features to effectively categorize textual data

Assessed model performance through the analysis of confusion matrices, f1 scores, and auc-roc curves, ensuring accurate evaluation metrics for text classification outcomes

CERTIFICATIONS

Visualize Data with PowerBI by Growth School Oct 2023

The Data Analyst Bootcamp by Codebasics Jun 2023

Advance Excel, PowerBI, SQL workshop by Skill Nation Aug 2022

Machine Learning and Deep Learning Masters by PW Skills Aug 2021

Integrating Python, SQL, and Tableau by Udemy Aug 2020

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