Do you know what’s the most important quality to become a Data Analyst or Scientist? Attention to detail of the Dataset. Understand the business problem and know what we exactly want to extract from the dataset. Gather each and every piece of information that you feel is important for analysis. I’m Data Science enthusiast with more than 3 years of professional experience in various fields. Being a part of the R&D team at Acuvate Software, I worked on many projects and POCs, which has deepened my knowledge in Deep Learning and Machine Learning. Through my most recent internship experiences with Boehringer Ingelheim (one of the top Pharma companies) and Fintech (pioneer and leader in Alcohol management services) I have gained extensive knowledge on how the business works in different industries and also got a chance to implement some of the crucial solutions that has influences the business. Also, I have extensive experience with Microsoft Azure and ML services using which I have built smart chatbots. As an SAP Functional and Implementation consultant, I successfully handled multiple projects which included critical analysis and followed a complete Software Development Life Cycle throughout the process. I am excited to take up new challenges and bring some innovative solutions to the desk. My Strength: I have a very good command on what I know. Deep knowledge in my areas of interest help me use them proper reasoning to influence the business. What ever I learn, I learn with love and passion. Self Learner with an attitude of achiever. TECHNICAL SKILLS: • Languages: Python, R, SQL, T-SQL, C#, SAS • Python skills: NumPy, Pandas, Matplotlib, Scikit-learn, SciPy, TensorFlow, Keras, Seaborn, Selenium, NLTK, Tweepy, Beautiful Soup. • Machine Learning: Hypothesis Testing, Statistical Modeling, Descriptive and Inferential Statistics, Linear and Logistic regression, Multivariate and Panel data Analysis, Decision Tree, Support Vector Machines, Naïve Bayes, Ensembles, PCA, Artificial Neural Networks, Clustering, Time Series Forecasting, Collaborative Filtering, Applied Text Mining • Database: Oracle Server, Microsoft SQL Server, PostgreSQL, Access, MySQL, • Tools: Tableau, Microsoft Power BI, QlikView, Qlik Sense, Microsoft Excel (pivot table, vlookup, etc.), RStudio, Jupyter Notebook, Weka, Microsoft Visual Studio, Microsoft Azure ML Studio, SAS Enterprise Miner, SQL Developer, Dreamweaver, Gliffy, Microsoft Visio. Contact me: ashritk@usf.edu