Sudharani Pala

• I have total of 10 months of experience in Hurix Digital services company where I worked as dedicated Associate with extensive experience collaborating with clients, promptly identifying needs and recommending products and services to accomplish client's goals. Strong communicator focused on delivering outstanding customer care.
• As a Researcher, I have spent the past several years immersing myself in big data and machine learning. I have been a part of many research projects in the field of computational physics where I dealt with data science and automations using python. I am excited to bring my expertise to the Company in the role of a Data Scientist/ Data Analyst. I want to explore in the field of Data Science and make a career transition.
• We are a part of an app development called KITABOO, where we used data analytics and automations using python. I have acquired quite a better understanding on python, MS EXCEL, Tableau, SQL and KNIME. I have excellent verbal and written communication and excellent presentation skills, including comprehensive knowledge of Microsoft PowerPoint.
• I am skilled with Microsoft Word and proficient Microsoft Excel and at basic research.
• I am good with numbers, collecting data, and market research. I chose this role because it encompasses the skills I am good at, and I find data science interesting. I have a breadth of software experience. I can also create databases in Access and make tables in Excel.

4 years of core experience in literature reviews and 1 year of experience on Systematic Review.

Data Analysis capabilities:

• Tasks:

1. Assessing, reviews, testing technical solutions against requirements and acceptance criteria.

2. Providing AD-hoc data analysis to end users to choose the best fits.

3. Used data analysis tools such as KNIME, to combine data source and with many ready-to-use automation building blocks.

4. Using Visualization tools for defining technical and functional requirements, design feasibility's and optimal solutions for data analysis.

Python:

Data structures, control structures, loops and iterations and functions

• Comfortable using data and control structures creating new applications.

• Numpy, multidimensional arrays and mathematical operations.

• PANDAS: worked on data frames, pivot tables, slicing, indexing, and merging.

• DATA VISUALIZATION: has working knowledge on MATPLOTLIB, SEABORN and creation of bar-graphs, scatter plots, line graphs, histograms, box plots, heat maps and subplots. Done extensive case studies on data visualization by data handling, data cleaning, sanity checks.

• Case studies using Exploratory data analysis (EDA) by data sourcing, data cleaning, conducting univariate analysis, bivariate and multivariate analysis.

• Data Analysis based on the customer requirements and building applications.

Inferential Statistics and Hypothesis testing:

· Has sound knowledge on how to use random sample data to describe and make inference about the population and hypothetical testing.

· Has good understanding on probability distributions, sampling methods and hypothesis testing.

SQL:

· Queries to the databases and relational databases to fetch data for data analysis and data mappings.

TABLEU:

· Dashboard reporting, data analysis, visualization.