Akash Sharma

Analytic and process-oriented analyst looking for opportunities to incorporate my skills and training to help the company grow along with personal growth through hard work, attention to detail and good organizational skills. Clear knowledge of database types, research methodologies, data capture, curation, manipulation and visualization. Furnish insights, analytics to obtain results. Always motivated to learn, grow and excel in the industry.

• Strong mathematical foundations and good in Statistics, Probability, Calculus, Linear Algebra.
• Experience working with Machine Learning algorithms like Simple Linear Regression, Multiple Regression, Polynomial Regression, Logistic Regression, SVM, KNN, Decision Tree, Random Forest, AdaBoost, Gradient Boosting, XGBoost, K- fold cross validation.
• Minimizing the cost function in Regression algorithms and Regularizing Linear Models withthe help of Ridge and Lasso.
• Hyperparameter tuning of models and Dimensionality Reduction like PCA.
• Performing Exploratory Data Analysis (EDA), ETL process from various sources.
• Feature Engineering in Python- Missing value treatment, outlier handling, data transformation, Feature Selection and reshaping data using Python Packages like NumPy, Pandas and Scikit Learn.
• Data Visualization techniques with help of Matplotlib, Seaborn and Tableau.
• Skilled in Libraries like NumPy, Pandas, Matplotlib, Seaborn Scikit Learn, Pandas Visualization
• Hands on experience working with datasets from data extraction, pre-processing, model-selection, model building, avoiding overfitting and underfitting to make optimalmodels, finding accuracies and try and improve it, mixed precisiontechniques.
• Predictive and Descriptive modelling to answers problem statements.
• Experience in working with MySQL database using SQL, MongoDB
• Basic knowledge of deployment using Amazon Web Services (AWS) Cloud Computing.
• Creating interactive dashboards using Tableau.
• Quick learner, Critical thinker with a keen eye for all details.
• Enthusiasm towards researching and learning new and upcoming technologies.
• Good listener, open to learn, quickly adapt, punctual and organized.
• Team Player

• Programming Languages: Python, Machine Learning, NumPy, Pandas, Sklearn.
• Databases: MySQL, MongoDB
• Visualization Libraries: Matplotlib, Seaborn, Pandas Visualization.
• BI tools: Tableau.