📌 Learner’s Compass Dashboard – Ananya Sharma

🎯 Skills Map

SkillRequiredCurrentProgressDetails
PythonAdvancedIntermediate
60%
TensorFlowIntermediateBeginner
30%
SQLIntermediateBeginner
40%
AWSBasicNot Started
10%

🎯 Skills Map: Ananya vs. ML Engineer

60%
Python
Intermediate ➝ Advanced
30%
TensorFlow
Beginner ➝ Intermediate
40%
SQL
Beginner ➝ Intermediate
10%
AWS
Not Started ➝ Basic

📈 Progress Over Time – Skills Growth Timeline

April 2025
Python
May 2025
Python
SQL
June 2025
Python
SQL
TF
July 2025
Python
SQL
TF
AWS
August 2025
Python
SQL
TF
AWS
Python SQL TensorFlow AWS

🧭 Career Path Explorer – Skill Progress Timeline

Select a role to explore how Ananya's current skills match career requirements:

📘 Learning Progress Feed (Timeline + Skills)

July 2025

✅ Completed: Python for Everybody (Coursera)

🧠 Skills Gained: Python Basics, Loops, Functions, Data Structures

June 2025

💼 Project: Sentiment Analysis on Twitter

🧠 Skills Gained: Pandas, Matplotlib, NLTK, Data Cleaning

May 2025

🏫 Attended: ML Bootcamp (Offline)

🧠 Skills Gained: Supervised Learning, Regression, Scikit-learn

August 2025

🚧 Ongoing: Intro to TensorFlow (Coursera)

🧠 Skills In Progress: Neural Networks, CNNs, TensorFlow

July 2025

🚀 Started: AWS Cloud Practitioner Path

🧠 Skills In Progress: Cloud Basics, EC2, IAM, S3

April 2025

💼 Project: House Price Prediction

🧠 Skills Gained: Linear Regression, Model Evaluation, Scikit-learn

💼 Project Showcase (Skills + Learning Connection)

📊 Sentiment Analysis on Twitter

📅 June 2025

PandasMatplotlibNLTKPython

Learning Sources:
✅ Python for Everybody (Coursera)
✅ NLP Tutorial (YouTube)

Outcome:
Classified 10k tweets with 85% accuracy using NLP & visualization tools.

🏠 House Price Prediction

📅 April 2025

Linear RegressionScikit-learnPython

Learning Sources:
✅ ML Bootcamp Notes
✅ Kaggle Tutorial

Outcome:
Built predictive model with RMSE = 2.3 on test dataset.

🌐 Data Scraper Tool

📅 March 2025

BeautifulSoupWeb ScrapingPython

Learning Sources:
✅ Python Web Scraping Guide
✅ GitHub Projects

Outcome:
Scraped 5000+ product entries from e-commerce websites and exported to CSV.

🧠 ML Image Classifier

📅 August 2025 (Ongoing)

TensorFlowKerasCNN

Learning Sources:
✅ Intro to TensorFlow (Coursera)
✅ TensorFlow Docs

Outcome:
Training models on CIFAR-10 and MNIST datasets; accuracy improving weekly.

📊 Overall Skill Overview – Where Ananya Stands

✅ Strengths

  • Python: Intermediate with strong project base
  • Problem Solving: Demonstrated via Sentiment Analysis, House Prediction
  • Learning Consistency: Regular course and project completions

🚧 Skill Gaps

  • AWS: Not Started – Needs Cloud Fundamentals
  • TensorFlow: Beginner – Needs deeper ML model exposure
  • SQL: Still Beginner – Lacks advanced queries and joins

🎯 Focus Next

  • ⚡ Complete Intro to TensorFlow + ML Image Classifier
  • 📘 Start AWS Cloud Practitioner Path (on SkillBuilder)
  • 🧪 Practice Advanced SQL Queries (joins, subqueries, CTEs)
  • 🎥 Follow real-world ML projects (Kaggle, YouTube builds)