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Assessing your cultural and operational fit
Data Practitioner
Data Scientist
June 16, 2026 – Present
Flask_docker_deployment
August 19, 2021 – September 12, 2021
Flask_docker_deployment — GitHub repository
View ProjectTechgig_ML_round_2_2021
April 17, 2021 – April 17, 2021
Techgig_ML_round_2_2021 — GitHub repository
View ProjectsnakeLadder
November 14, 2020 – November 14, 2020
Snake and ladder game backend in python
View ProjectAgriculturalProduceForecast
February 15, 2020 – February 16, 2020
(sunlight, temperature, humidity, electrical conductivity, rainfall). Capture the data with all this information. The idea is to get the data in the platform or upload the excel data (via .csv, .txt or xml) to the application, compare with the historical farm parameter data, develop a model/algorithm & be able to forecast yield and display the output of the past 3 and next 3 months. To integrate the application with a social media module (say a farmer’s network) or a community (of botanists, entomologists) and be able to provide answers to real farm problems – pests, leaf conditions etc. within 24 hours.
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interests, from web development (MFCC) to data science (AgriculturalProduceForecast). However, the descriptions are brief, making it difficult to fully assess the depth of engagement or collaborative aspects. The target role is Data Scientist, and while several projects align, the overall diversity suggests a broad interest rather than a focused deep dive into specific data science domains. The candidate's experience level is listed as 0, with a current role as 'Data Scientist' starting in 2026, which is inconsistent and suggests a potential data entry error or future aspiration rather than current professional experience. This makes it difficult to assess cultural fit based on professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric or English test scores are available.