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Hi! I am enthusiastic about machine learning & data. I like to write about ML & other things. On way to be a CFA Charterholder, have passed all its 3 levels :)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Self-Organizing-Maps
September 13, 2021 – January 26, 2022
Anomalies detection (fraud customers) and breast cancer detection using the self-organizing maps, an unsupervised deep learning technique
View ProjectLatent-Dirichlet-Allocation-LDA-
June 26, 2021 – June 26, 2021
End to End implementation of Topic Modeling using LDA
View ProjectData-Preprocessing-in-Python
March 28, 2021 – March 28, 2021
An End-to-End Guide on Data Preprocessing in Machine Learning in Python
View ProjectString-Similarity
February 23, 2021 – February 23, 2021
A Simple Guide to Metrics for Calculating String Similarity using Hamming and Levenshtein Distance
View ProjectNetwork-Intrusion-Detection-System
February 2, 2021 – February 2, 2021
Build network intrusion detection system to detect anomalies and attack in the network (both Binomial and Multinomial classification)
View ProjectCredit-Card-Segmentation
January 27, 2021 – January 27, 2021
Built an enriched customer profile by deriving few key performance indicators (KPIs). For dimensionality reduction used Principal Component Analysis. To identify the optimal clusters performed clustering using K-Means and Agglomerative Hierarchical Clustering such as Elbow analysis, Silhouette coefficient, Dendrogram. Performed segment distribution and Profiling to form segments and based on the analysis of each segment identified the key consumption characteristics of each segment.
View ProjectEDA-Statistical-Case-Studies
December 20, 2020 – December 31, 2020
Case studies on Pandas for data munging, descriptive & statistical analysis
View ProjectPCA
December 15, 2020 – December 15, 2020
A Step-by-Step approach on how to reduce dimensions using Principal Component Analysis.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on core data science techniques. While demonstrating technical aptitude, there is no information regarding collaborative projects, team environments, or broader industry applications, making it difficult to assess cultural fit beyond a foundational interest in data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on practical implementation of machine learning concepts.