About
Hello!
Thanks for checking in!
As a finance major, my interest in data science was sparked during a Securities and Portfolio Management class, where I discovered the crucial role of Time Series Forecasting in technical analysis. This curiosity led me to delve into the mechanisms behind predicting bullish and bearish trends in the stock market.
My initial foray into data science unveiled its pervasive application in everyday life, from optimizing supermarket layouts (Association problem) to providing traffic predictions for commuters. This discovery ignited a passion for learning and mastering data science.
I firmly believe that the pursuit of knowledge in data science is a continuous journey, and one can never truly claim to have reached its end.
Did you know? There are nearly as many pieces of digital information as there are stars in the universe.
How can organizations navigate and derive insights from this vast sea of digital information, especially when it presents itself in various complex forms?
This is where I come in. With four years of practical experience in SQL, Tableau, Power BI, Python, and R, I am adept at solving intricate business problems. In Python, I have developed multiple projects utilizing libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, Keras, PyTorch, NLTK, and sklearn.
I specialize in building models using machine learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, Naive Bayes, Gradient Boosting, AdaBoost, XGBoost, and Support Vector Machines. For scenarios requiring the training of multiple models, I employ ensemble learning techniques. When handling unlabeled data, I turn to Unsupervised Learning methodologies.
Continuously expanding my knowledge, I engage in various projects to deepen my expertise. You can explore my Machine Learning projects here:
My Kaggle Profile: https://www.kaggle.com/meenakshijha
Beyond my proficiency in data science, I have a deep-seated interest in finance, reading, and storytelling. I leverage tools like Tableau and Power BI to craft compelling data narratives.
Discover my visualization stories here:
My Tableau Public Profile: https://public.tableau.com/app/profile/meenakshi.kumari.jha/vizzes#!/see more
Experience
Tell us about your professional experience
Education
Where did you complete your basic education from?
Skills
Data Science, AI and ML
Decision Tree
Microsoft Azure
Python
Seaborne
Logistic Regression
Forecasting
adwords
KNN
Linear Regression
Accomplishments
Projects
Second Hand Car Price Prediction
Completion Date : Aug 2020
The goal of this problem is to predict the Price of an Old car based on the variables provided in the data set.
FIFA 19 ratings prediction for players
Completion Date : Jun 2020
In this project we predict the overall ratings of the player in FIFA 19 by using Supervised Learning Regression.
Analysis on the Global Terrorism Database
Completion Date : Jan 1970
This project is about to classify if an event is terrorist or other forms of crime as per the Global Standards.
Languages
English
French
Hindi
Maithili
Punjabi
Sanskrit
Telugu
About
Hello!
Thanks for checking in!
As a finance major, my interest in data science was sparked during a Securities and Portfolio Management class, where I discovered the crucial role of Time Series Forecasting in technical analysis. This curiosity led me to delve into the mechanisms behind predicting bullish and bearish trends in the stock market.
My initial foray into data science unveiled its pervasive application in everyday life, from optimizing supermarket layouts (Association problem) to providing traffic predictions for commuters. This discovery ignited a passion for learning and mastering data science.
I firmly believe that the pursuit of knowledge in data science is a continuous journey, and one can never truly claim to have reached its end.
Did you know? There are nearly as many pieces of digital information as there are stars in the universe.
How can organizations navigate and derive insights from this vast sea of digital information, especially when it presents itself in various complex forms?
This is where I come in. With four years of practical experience in SQL, Tableau, Power BI, Python, and R, I am adept at solving intricate business problems. In Python, I have developed multiple projects utilizing libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, Keras, PyTorch, NLTK, and sklearn.
I specialize in building models using machine learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, Naive Bayes, Gradient Boosting, AdaBoost, XGBoost, and Support Vector Machines. For scenarios requiring the training of multiple models, I employ ensemble learning techniques. When handling unlabeled data, I turn to Unsupervised Learning methodologies.
Continuously expanding my knowledge, I engage in various projects to deepen my expertise. You can explore my Machine Learning projects here:
My Kaggle Profile: https://www.kaggle.com/meenakshijha
Beyond my proficiency in data science, I have a deep-seated interest in finance, reading, and storytelling. I leverage tools like Tableau and Power BI to craft compelling data narratives.
Discover my visualization stories here:
My Tableau Public Profile: https://public.tableau.com/app/profile/meenakshi.kumari.jha/vizzes#!/see more
Reviews