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Experienced Analytics Engineer with expertise in Google Cloud Platform (GCP), BigQuery, SQL, Python, dbt, ETL processes, and Tableau.
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Assessing your cultural and operational fit
General Mills
Data Scientist
June 13, 2026 – Present
Extracting-Weather-Data-from-Google
November 10, 2021 – November 18, 2021
Extracting-Weather-Data-from-Google — GitHub repository
View ProjectMachine_Learning_and_Deep_Learning
June 24, 2021 – May 13, 2021
Machine_Learning_and_Deep_Learning — GitHub repository
View ProjectInnomatics_Internship_APR_21
April 26, 2021 – June 30, 2021
Innomatics_Internship_APR_21 — GitHub repository
View ProjectTCS_Stock_Price_Prediction
November 24, 2020 – November 24, 2020
In this notebook, you will perform the following steps: 1. Import the libraries 2. Read S&P500 data 3. Define the explanatory variables 4. Define the target variables 5. Split the data into train and test 6. Support Vector Classifier (SVC) 7. Classifier accuracy 8. Strategy implementation
View ProjectSalary_Prediction
August 16, 2020 – November 18, 2021
Predicting an Employee's Salary using Simple Linear Regression. (Level- Beginners)
View ProjectSampleSuperstore
August 9, 2020 – August 9, 2020
Exploratory Data Analysis on the dataset named ‘SampleSuperstore’
View ProjectMovie_Recommendation_System
August 7, 2020 – October 28, 2021
Recommending Movies using User Based and Item Based Collaborative filtering Model
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards self-learning and practical application in data science. The diversity of personal projects (stock prediction, salary prediction, recommendation systems, EDA) indicates a proactive and curious mindset. However, without more information on collaborative projects or team experiences, assessing team collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.