A Corporate Novice, Expertise in Playing with Data.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Insurance-Case-Study-Descriptive-Statistics
July 10, 2022 – July 10, 2022
Insurance-Case-Study-Descriptive-Statistics — GitHub repository
View ProjectCardio-Good-Fitness-Case-Study-Descriptive-Statistics
July 10, 2022 – July 10, 2022
Cardio-Good-Fitness-Case-Study-Descriptive-Statistics — GitHub repository
View ProjectVeteran-Beginners-IIITH
September 24, 2021 – September 24, 2021
ML at scale, feature engineering, regression, random forest, gradient boosting, Distributed ML, Kafka, Spark, Containers
View ProjectStack-Queues-IIITH-Assignment
August 17, 2021 – August 17, 2021
Stack-Queues-IIITH-Assignment — GitHub repository
View ProjectLinked-List-IIITH-Assignment
August 14, 2021 – August 14, 2021
Linked-List-IIITH-Assignment — GitHub repository
View ProjectSearching-Sorting-Algorithms-IIITH-Assignment
August 6, 2021 – August 6, 2021
Searching-Sorting-Algorithms-IIITH-Assignment — GitHub repository
View ProjectGame-Developer-IIITH-Assignment
August 3, 2021 – August 3, 2021
Game-Developer-IIITH-Assignment — GitHub repository
View ProjectBasic-Recursion-IIITH-Assignment
August 2, 2021 – August 2, 2021
Implement a method which calculates the value of nth fibonacci number.
View ProjectBreast-Cancer-Analysis-KNN
July 28, 2021 – July 28, 2021
The goal is to classify whether breast cancer is benign or malignant. This analysis aims to observe which features are most helpful in predicting cancer. To achieve this, we have used machine learning classification methods to fit a function that can predict the class of new input. Domain: Healthcare Tools used: Python, Machine Learning. Libraries: Pandas, Matplotlib, Sklearn. Modeling Techniques: Decision Tree, Boosting & Voting Classifier.
View ProjectForecasting-and-Predicting-the-furniture-sales
July 24, 2021 – July 24, 2021
Forecasting-and-Predicting-the-furniture-sales — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic assignments or personal projects, indicating a foundational learning phase. While there's a clear alignment with the 'Data Scientist' target role in terms of technical topics, the lack of professional experience or collaborative projects makes it difficult to assess cultural fit. The projects are diverse within the ML/DS domain but lack real-world application context beyond academic exercises.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication, teamwork, or problem-solving approaches.