007A ML -> DL -> AI Computer Science and Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ashwin-srdy.github.io
January 2, 2024 – September 15, 2025
ashwin-srdy.github.io — GitHub repository
View ProjectShare-price-estimation-GPU-companies
November 20, 2023 – November 20, 2023
The aim is to develop a predictive model that can forecast the future prices of these companies based on their historical performance and other relevant factors. The model should take into consideration various economic indicators, industry trends, company financials, and other relevant data to make accurate predictions.
View ProjectRICE-CROP-PRODUCTION
April 13, 2023 – April 13, 2023
Rice crop prediction using real time data recorded from 1961 to 2021. Time series models trained on ARIMA, SARIMA, LSTM, FbProphet algorithms. Achieved an r2_score above 90% for SARIMA, Fbprohpet models.
View ProjectResources-for-Data-Science
September 19, 2022 – November 24, 2022
Resources-for-Data-Science — GitHub repository
View ProjectYield-prediction-based-on-crop-data
October 4, 2021 – August 23, 2022
The project deals with analyzing the trends in crop yield data of Telangana from the years 2016-2019 and building a suitable ML model with the factors affecting to predict the total yield. A web application was also built to demonstrate the working of the model.
View ProjectUniversity-admit-eligibility-predictor
June 7, 2021 – October 12, 2021
The project is implemented using a Machine-Learning model that predicts whether the user is eligible for an admission in the selected rated universities with provided details such as marks and others. The algorithm works in such a way that when the user provides the details such as (GRE Score, TOEFL Score, University Rating, SOP, LOR, CGPA, Research) the percentage of chance of admit is displayed.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science. However, the lack of professional experience, team projects, or diverse roles makes it difficult to fully assess cultural fit for a senior role. The projects are primarily academic or personal, which might indicate a learning-oriented individual but doesn't provide insight into collaboration or corporate environment adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but there is no information on collaboration, problem-solving in a team, or communication style.