
π οΈ Build. π₯ Break. π΄ββ οΈ Hack. π Improve. π Repeat.
AI is analyzing your overall scoreβ¦
Identifying your key strengthsβ¦
Evaluating your skill match against the job requirementsβ¦
Assessing your cultural and operational fit
Athavani
December 25, 2020 β October 16, 2022
π» Athavani/Memories is a full-stack MERN Tool built in order to save all your memories in a single place and rejoice them through the years.
View ProjectCoding-challenges
October 11, 2020 β February 19, 2021
Repository for maintaining logs for challenges
View ProjectPlacement-preparation
August 30, 2020 β May 12, 2021
Placement-preparation β GitHub repository
View ProjectSathyabama-results-fetcher
August 9, 2020 β August 13, 2020
Sathyabama results fetcher stript in python :snake: helps in students :student: of sathyabama in fetching results :bar_chart: from sathyabama website after every semester and helps in calculating SGPA :heavy_check_mark:
View ProjectSmart-park
June 22, 2020 β December 13, 2022
Smart virtual hackathon 2020 project :heart_eyes:
View ProjectWeekly-reporting-system
May 6, 2020 β February 1, 2023
:chart_with_upwards_trend: :bar_chart: Weekly reporting system is developed to take weekly work progress every one of a team
View ProjectProject-Hashely
January 25, 2020 β May 12, 2020
This is a python script used for cracking of MD5 and SHA256 most commonly used 6 million words hashes based on the dataset created and formatted in an excel sheet
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, ranging from web development to scripting and competitive programming. This indicates a broad interest in technology and a willingness to explore different areas. However, the projects are primarily personal and lack evidence of contributions to larger, collaborative efforts or open-source projects beyond a hacktoberfest repository. The target role is 'Data Scientist', and while Python is used, the projects do not deeply showcase data science specific skills like machine learning, statistical analysis, or data visualization beyond basic scripting. This suggests a potential misalignment with the depth required for a senior Data Scientist role.
Soft Skills & Operational Fit
The candidate's project descriptions are generally clear, indicating a foundational level of communication. However, without specific psychometric or English test results (scores are 0), it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration. The personal projects suggest a self-starter attitude but lack evidence of collaborative work or complex problem-solving in a team context.