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Passionate Technology Researcher with a keen interest in contributing to the community and exploring new technologies
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Assessing your cultural and operational fit
EarthNWe
Data Scientist
June 19, 2026 – Present
Training-Python
January 11, 2023 – February 19, 2023
Python training materials covering basic concepts
View ProjectNLP-Information-Pattern-Finder
January 2, 2023 – January 10, 2023
Spacy based Implementation for extracting information from textual data and also finding new data patterns
View ProjectUtility-Text-Scrapper
December 23, 2022 – December 30, 2022
The prime objective of this repository is to facilitate the extraction of texts from web URLs and also parallelize the extraction process so as to reduce the processing time
View ProjectNLP-Transformers
August 12, 2022 – November 20, 2022
Transformer (BERT, GPT2, etc.) based Training Module for popular NLP tasks
View ProjectNLP-KGFramework
June 28, 2022 – November 15, 2022
NLP-KGFramework is an automatic knowledge graph creation that uses NLP based querying to query the graph database in hand
View ProjectResearch-Catastrophic-Detection
May 12, 2022 – May 25, 2022
The sole purpose of this research work is to predict catastrophic events such as heavy rainfall, floods, etc using state of the art technique which includes time series forecasting, CNN, RNN, etc
View ProjectML-Retail-Sales
February 22, 2022 – September 21, 2022
ML Techniques to predict future sales for products
View ProjectML-Retail-Platter
February 21, 2022 – September 6, 2023
Product Pricing Simulator to simulate marketing scenarios using ML
View ProjectIP-Pointnet-ObjectDetection
February 3, 2022 – February 20, 2022
Frustum Pointnet Implementation on KITTI and Lyft Dataset
View ProjectIP-Pointnet
October 27, 2021 – February 8, 2022
TF2 implementation of PointNet Classifier and PointNet Part Segmentation using point clouds
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal projects, which demonstrates initiative and self-learning. However, without information on team-based projects or contributions to open-source, it's difficult to assess collaboration and broader cultural fit. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential mismatch in understanding or reporting of experience. The breadth of skills is concentrated within Python-based ML/DL, which aligns with a Data Scientist role but lacks diversity in other areas like MLOps, data engineering, or cloud platforms.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approach, or communication style.