Machine learning /Natural Language /Python enthusiast.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Drugs-recommendation-using-reviews
January 14, 2020 – January 14, 2020
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
View ProjectTravelling-SalesMan-Problem-Using-Genetic-Algorithm
May 17, 2019 – May 17, 2019
Using a GA to find a solution to the traveling salesman problem (TSP).
View ProjectPredict-The-Flight-Ticket-Price-Hackathon
April 27, 2019 – April 27, 2019
Predict the Flight Ticket
View ProjectNews_crawler
March 13, 2019 – March 13, 2019
Python code which crawls thru & downloads news headlines URL in excel/json format from major online news portals in India.
View ProjectTrend_Analysis_in_APMC
February 26, 2019 – March 1, 2019
Challenge 1: Agriculture Commodities, Prices & Seasons Aim: Your team is working on building a variety of insight packs to measure key trends in the Agriculture sector in India. You are presented with a data set around Agriculture and your aim is to understand trends in APMC (Agricultural produce market committee)/mandi price & quantity arrival data for different commodities in Maharashtra. Objective: Test and filter outliers. Understand price fluctuations accounting the seasonal effect Detect seasonality type (multiplicative or additive) for each cluster of APMC and commodities De-seasonalise prices for each commodity and APMC according to the detected seasonality type Compare prices in APMC/Mandi with MSP(Minimum Support Price)- raw and deseasonalised Flag set of APMC/mandis and commodities with highest price fluctuation across different commodities in each relevant season, and year.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. The diversity of personal projects (recommendation systems, sentiment analysis, price prediction, trend analysis) indicates a broad interest within the field. However, the lack of team projects or professional experience makes it challenging to assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills such as problem-solving approach, collaboration, or communication style. The focus on personal projects suggests self-motivation and initiative. Operational fit is hard to determine without information on work experience or team collaboration.