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Candidate Information

Full Name
Rithik Raj Doddimedhi
Age
25
Experience
3 years
Job Type
Full-time

Contact Details

Address
Kompally, Hyderabad - 500055
State
Telangana
Country
India

About candidate

About you
I am working as a data analyst at Merkle Science Pvt Ltd. Aside from programming I am interested in latest tech news regarding the electronic gadgets and other stuff. I am fairly experienced and proficient in python, sql and excel. I also have experience in web automation with selenium.
What are you looking for in a new role?
I am looking for a new challenge where I can apply my experience and knowledge and explore new applications for my skills and expand my knowledge.
What you are interested in working with us?
I am interested in knowing how the company is going to make use of the data analytics and what are the areas i can improve to be beneficial to the company so that both of us can grow together.
What has been most challenging experience in a past role?
I wouldn't say challenging but manual work like data entry and stuff although a small part feels a long time to work on.

Cover latter

 

Doddimedhi Rithik Raj 

 

Phone: +91 9348555500 

Email: d.rithik.raj.27@gmail.com 

Address: Kompally, Hyderabad 

Linkedin: https://www.linkedin.com/in/d-rithik-raj-b88436216/ 

 

Profile

Detail-oriented and results-driven aspiring data analyst with hands-on experience in data analytics, specialising in data manipulation, visualisation, and interpretation. Skilled in leveraging advanced tools such as Python, SQL and Excel, alongside big data technologies including Hadoop, HDFS, and Hive, to derive actionable insights and support data-driven decision-making. Seeking a full-time position in the corporate sector where I can apply my expertise, contribute to organisational success, and achieve continuous professional development within a dynamic, high-growth environment.

 

Education: 

  • VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Bachelor’s Degree in Electrical and Electronics Engineering (July 2017-July 2021) GPA: 8.88.

 

Work History: 

 

Full Time | Merkle Science, Bengaluru (Apr’23–Present)

  • Oversaw and optimised metadata at the contract and address level for cryptocurrencies, ensuring data accuracy in a constantly changing market; supported analytics and research efforts with a reliable data foundation.
  • Promoted collaboration through DataOps and structured workflows in SQL and Python, improving processes across three departments in the organisation.
  • Played an active role in shaping the operational processes of multiple departments.
  • Automated manual work and collecting data using selenium as well as researched on the sources of the data and quality of the data. 
  • Built Python-based web scraping scripts using Selenium and Pandas to automate data extraction from both static and dynamic websites, reducing manual workload by 90% and saving significant work hours each week.
  • Leveraged advanced proficiency in SQL, Excel, and other analytical tools to process and manage large volumes of data, identifying key patterns and actionable insights that positively influenced business outcomes.
  • Directed data gathering efforts from internal resources, open-source intelligence (OSINT), and third-party platforms, resulting in the continuous maintenance of accurate, up-to-date datasets essential for organisational use.
  • Performed comprehensive research and analysis on cryptocurrency risks, patterns, and emerging blockchain trends, with a strong emphasis on ensuring compliance with Anti-Money Laundering (AML) regulations and sanctions set by the UN and OFAC.

 

Apprentice | MET Center, DRDO-ITR, Odisha, India (Jan’22–Jan’23)  

  • Continuously monitored and logged daily weather data to ensure accurate and timely data capture for ongoing analysis.
  • Utilised Pandas to efficiently manipulate historical weather data, streamlining the process for forecasting and trend analysis. 
  • Created detailed visualisations of historical weather patterns using Matplotlib to support in-depth study and predictive modelling.
  • Diagnosed and resolved technical issues within the Automated Weather System, ensuring reliable and uninterrupted data acquisition

 

Projects: 

 

  • Trends of Android App market on Google Play:

Explored different properties of android apps in Google Play dataset and visualised  specific trends among them using visualisation in python.

  • A Visual History of Nobel Prize winners

Analysed the Nobel prize winner dataset, visualised different winners based on specific categories using seaborn and identified the youngest Nobel prize winner.

  • Airbnb Booking Analysis:

Performed EDA (Exploratory Data Analysis) on the Airbnb NYC 2019 dataset using Python.

 

Skills: 

  • Data Analytics using python.
  • Experience in SQL queries.
  • Proficient in web automation using Selenium-Python.
  • Knowledge on hadoop (HDFS) and data warehouse systems like Apache Hive.

 

Tools and Libraries: 

  • Pandas, Matplotlib, Seaborn,MS Excel, PowerBI, BigQuery, Selenium, Oracle VM, Cloudera Quickstart VM.

 

Other Skills: 

  • Supportive Team member and methodical thinker.