Data Analyst Logistic

JIKHANGIR *******@*****.*** +1-832-***-**** Seattle, CHIFJI Washington (Open to Relocation) https://www.linkedin.com/in/jikhangir jikhangir97 SUMMARY

Highly analytical and process-oriented data analyst with in-depth knowledge of database types; research methodologies; and big data capture, curation, manipulation and visualization. Furnish insights, analytics and business intelligence used to advance opportunity identification, process re-engineering and corporate growth. Currently seeking Data Analyst roles. LANGUAGES: Python (Pandas, NumPy, Scikit-Learn, PySpark), SQL DATA VISUALIZATION: MatplotLib, Seaborn, Tableau, Plotly MACHINE LEARNING: Linear Regression, Random Forest Regression, Classification, K-means Clustering, Hypothesis-Testing, A/B Testing, kNN, Logistic Regression, Naive Bayes, Tensorflow, Keras SKILLS

PROJECTS

Grade Tools: Prediction Python ( of Pandas, Math Class NumPy, MatplotLib, Scikit-Learn, Scikit-Preprocessing, Seaborn) 2021 Built a prediction model which is achieved to the %82 accuracy using supervised machine learning algorithms based on math class students at Portugese school

Modeled training data with several supervised machine learning algorithms to find best prediction model with highest accuracy.

Performed a data wrangling and cleaning to prepare features to implement machine learning algorithms. Performed a EDA ( Exploratory Data Analysis) to find hypothesize potential predictors. Customer Tools: Python Segmentation ( Pandas, at NumPy, Dayona MatplotLib, Car Dealership Scikit-Learn, Scikit-Preprocessing, Seaborn), Tableau 2021 Performed data wrangling and cleaning to prepare our features for use unsupervised machine learning Modeled data with K-means clustering and Hierarchical clustering to find best groups of customers. Supported model with elbow method to find how many clusters would be best for model. Performed a EDA ( Exploratory Data Analysis) to gain insights of our data to finding potential benefits for model EDUCATION

North Bachelor's American Degree Computer University Science 2020 Jan. 2017 - Dec. 2020 Relevant Courses: Statistics, Discrete Mathematics, Database Structures, Probability Springboard 6-month intensive Data course Science in Data Career Science, Track, Machine Certi ication Learning, Python, SQL and Tableau. July 2020 - Apr. 2021 EMPLOYMENT

School of Science and Technology, IT Intern, San Antonio, Texas Feb. 2019 - May 2019 AWARDS

International Silver Medal Computer Project Competition Infomatrix Asia & Paci ic, Suleyman Demirel University Apr. 2015