Praneeth Reddy Nakka

adyrcs@r.postjobfree.com Albany, New York, USA

linkedin.com/in/praneeth-reddy-nakka-46b144169/ github.com/PRANEETH-REDDY-23899 WORK EXPERIENCE

Energy Data Analyst – University at Albany ( May 2023 - July 2023)

● Successfully connected diverse energy metering databases, including SQL, Excel, and other data files, to PowerBI, enabling the creation of comprehensive energy dashboards displaying real-time and historical energy use, intensity, and profiles for buildings and groups of buildings on campus.

● Created reports and conducted trend analysis using the energy dashboards, identifying opportunities for energy optimization in building and campus systems, and contributing to energy efficiency initiatives.

● Demonstrated professional-level experience in data analytics and data visualization, utilizing tools such as PowerBI and SQL to extract insights and present data-driven recommendations. Graduate Student Assistant – Residential Life University at Albany ( Oct 2022 - May 2023)

● Worked as a dedicated member of the living area professional staff, responsible for maintaining a supportive and inclusive residential community.

● Effectively participated in the living area professional staff duty rotation, providing weekday and weekend coverage to address emergencies and support residents' needs.

● Successfully fulfilled supervisory responsibilities, providing guidance and support to Residential Life student staff and Work/Study students, fostering professional development, and ensuring adherence to policies and procedures.

Cognizant - AWS Cloud Data Engineer Intern ( Jan 2022 - July 2022)

● Explored various tools and technologies such as Python scripting, bash, SQL, Pyspark, data bricks, and AWS cloud.

● Understood and built demo pipelines using AWS infrastructure and familiarized me with the AWS environment.

● Started preparation for AWS practitioner and AWS solution architect certifications.

● Did a basic project credit approval prediction using machine learning using Pyspark . Teaching Assistant - OneLearn.io (Oct 2021 - Jul 2022)

● Providing feedback to the student assignments, Solving students' doubts, and mentoring in projects and problem-solving, python, SQL, data analysis & viz, tableau .

● Worked on Email automation projects and EDA projects based on movie data and taxi analytics.

● Automated the email notifications for the courses, giving optimization for problem-solving questions. Student and Student Mentor - Indo Universal Collaboration for Engineering Education(IUCEE) (Feb 2020 - Jul 2022)

● Enrolled in the Student Leadership course 2020, met different experts from various domains,

● Proposed Laundry Waste Water recycling unit and honored with outstanding performance.

● Appointed as the student mentor for AI for all courses as part of the IUCEE student member. EDUCATION

State University of Newyork at Albany, New York, USA Aug 2022 - May 2024 Master’s in Computer Science

Courses: Data Mining, Software Engineering, Discrete Mathematics, Operating Systems, Advanced Programming Concepts.

Kalasalingam Academy of Research and Education, TamilNadu, India Jul 2018 - Jun 2022 B.Tech, Computer Science (GPA: 9.2/10)

Courses: Calculus, OS, Databases & SQL, Programming with Python, Data Mining, Statistics, and Probability Highlights: Top 5 in the class, Winner - Best Project Award (data mining) SKILLS & CERTIFICATIONS

Online Courses and certificates: Python, Blockchain, SQL, Javascript Skills: Python, Data Structures and algorithms, SQL, JavaScript, R, Django, Web Development, Machine Learning Numpy, Pandas, Python, Excel, Tableau, Git. PROJECTS

Diabetes prediction using classification and ensemble algorithms ( demo, code )

● Worked with PIMA Indian diabetes dataset from Kaggle containing several medical predictors

(independent) variables and one target (dependent).

● Applied various algorithms such as Logistic regression, Gaussian Naive Bayes, random forest, KNN, XGboost, and LightGBM to create a machine-learning model.

● Obtained an accuracy of 90% on the test dataset, by using a hybrid model combination of LightGBM + KNN.

Software Developer Salary Prediction using Machine Learning ( demo, code )

● Worked with Stackoverflow developer survey 2020 dataset which consists of various people surveys regarding the country, education level, years of experience, and salary(dependent variable).

● Created and trained a regression machine learning model using the DecisionTreeRegressor and RandomForestRegressor.

● Used neg_mean_squared_error as scoring while using the GridSearchCV. Developer Search ( code )

● This is a web development project using HTML, CSS, and Javascript as frontend and Django as backend.

● The primary aim of this project is to develop web dev skills using Frontend and Django .

● On this website, Developers can create their profile and search for other developers with similar skill sets and recruiters can also contact using the developer's profile . Email automation project ( code )

● Automated the email notifications for the courses according to the text file which consists of details about each course.

● Used API scheduler and the Windows task scheduler to automate the email notifications prior to the class date.

ABOUT ME

● I am very passionate about Data Science and Web development. Great dedication and determination toward the work I do.

● Daily solver in leetcode and have a good command of data structures and algorithms.

● Have problem-relevant skills in machine learning and data engineering.

● Can create web pages using Html, CSS, and Javascript.

● Can write the backend code in Django and have relevant skills in Python libraries such as pandas, NumPy,sklearn, seaborn, etc.

● Strong in computer science fundamentals.

Contact this candidate