Enrolled Master's Degree in Högskolan Dalarna - Sweden
Micro Data Analysis(2020-2021)
Thesis Title: Creating Financial Database for Education & Research: Using WEBSCRAPING Technique
Data Scientist | Data Analyst | Business Analyst
I'm an aspect programmer who's fascinated by the intersection between data science and data analytics, as well as narrative. Words and statistics, in my opinion, are the two most potent instruments for changing the world.
I spend the most of my time staring at a computer screen.
During the day, I usually program in order to extract information from enormous datasets.
Data analysis, visualization, machine learning, and BI technologies are among my skills.
I've honed my problem-solving skills, and I enjoy a good challenge now and then.
I frequently work on end-to-end data science initiatives, which typically begin with data collection from third-party sources and conclude with business insight in the form of customer segments.
Micro Data Analysis(2020-2021)
Thesis Title: Creating Financial Database for Education & Research: Using WEBSCRAPING Technique
Python, SQL, and R
Oracle Sql Developer, Data Warehouse and MySQL
NLTK, Scrapy, NumPy, Pandas, Matplotlib, Seaborn, Plotly, tidymodels, tidyverse, ggplot2, Tensorflow, ANN & CNN.
MS Office, Power BI, and Tableau.
Linear Regression, Logistic Regressions, Decision Tree, SVM, Naïve Bayes, KNN, k-means, Random Forest, Gradient Boosting Algorithms, Open CV, Face_recognition, keras & tensorflow.
Sample size Determination, Normal Distribution, Probability, and Hypothesis Testing
Dashboards, Visualizations, Reporting, Predictive Analytics, Data Mining, & ETL
Customer Personality Analysis is helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers
Building a Movie Recommendation System web application using Flask and Recommendation technique called Collaborative Filtering.
Having the ability to accurately predict future churn rates is necessary because it helps your business gain a better understanding of future expected revenue.
Using Sentiment Analysis to understand Customer Satisfaction in US Healthcare Industry
Majority of energy consumption in buildings is due to air-conditioning, because of hot and humid weather. This project is a data-driven approach to predict individual thermal comfort using environmental and human factors as input.
The method of constructing a condensed version of the original text while maintaining crucial information. Humans are natural summarizers since we can comprehend the overall meaning of a document simply by reading it.
I cleaned a public database on Nashville house sales. To execute queries that standardized dates, populated missing data, split data into new columns, removed duplicates, and removed unnecessary columns.
This project report will go through Sales overiew, customer & product details.
I would love to hear from you, connect with me!!