Distributed Software Developer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
weekly_cohort_analysis
October 18, 2022 – October 19, 2022
spark scripts for various atomic tasks
View ProjectshiApp-telephonesByContinents
September 21, 2017 – September 21, 2017
Number of Telephones in Different Regions of the World.
View ProjectkrediTech
August 21, 2017 – August 26, 2017
Data Cleaning and classification using "randomForest" in R
View ProjectSMarkets
August 21, 2017 – August 21, 2017
"Bets" data scraping and analysis using "rjson", "RCurl", and "sqldf" packages in R.
View ProjectR_Programs
January 7, 2017 – September 21, 2017
List of machine learning algorithms and methods in R to perform data analysis.
View ProjectHousing-Prices-Prediction
December 24, 2016 – December 24, 2016
Predict the prices of houses based on certain geographical and other factors.
View ProjectDataMartDesignSQLServer
November 30, 2016 – September 23, 2019
Data Warehouse design and data mining using SQL Server 2012.
View ProjectSKU-purchase-rate-prediction
November 6, 2016 – November 6, 2016
Evaluate the purchase data of 594 households in Philadelphia (total 9781 purchases) and propose a forecasting model for the purchase rates of various SKUs.
View ProjectTeam-Leada
November 6, 2016 – November 6, 2016
Analysis of 80,000 Re-targeted Customers’ Records to predict purchase rates after re targeting.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on individual data analysis and machine learning tasks, indicating a potential fit for roles requiring independent research and model development. However, the lack of team-based projects or detailed descriptions of project impact limits a comprehensive cultural fit assessment. The projects align with a Data Scientist role, but the breadth of technologies is somewhat narrow, heavily leaning on R.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.