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スポンサーされているFreelancer
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I have experiences in the following fields. Video editing: FFmpeg, AviSynth, VapourSynth; scripting and complex filters in FFmpeg/Avisynth, advanced video denoise methods (e.g.: Non-Local Means, BM3D), operations on video files, including intro creation (primarily in Blender), logo and subtitle overlays, zoom and pan...I have experiences in the following fields. Video editing: FFmpeg, AviSynth, VapourSynth; scripting and complex filters in FFmpeg/Avisynth, advanced video denoise methods (e.g.: Non-Local Means, BM3D), operations on video files, including intro creation (primarily in Blender), logo and subtitle overlays, zoom and pan by custom scripting, video stabilization, working with older VHS/MPEG2 sources, high quality deinterlacing, colorspace transformations, etc. (preferred output container formats: mp4, mkv, mov) Preferred encoding type is H.264 with x264, though do have experiences with ProRes, H.265/x265, DivX/Xvid, MPEG2, MotionPNG, VP9, and the most recent AV1 encoder, as well as with NVEnc. Audio editing: noise reduction and volume level normalization, working with text to speech engines, minor audio processing / correction works. 3D modelling and animation rendering: Blender / Cycles (mainly with 2.79b): examples: larger scale CPU and GPU rendering, photorealistic shaders, using HDRI environmental textures, creating and rendering animations like 3d logos, fine rotation/translation of objects & camera motion; some example works are under: "Recently completed 3D modells". Image editing: Gimp, ImageMagick. It also includes: high quality upscale (e.g. Spline64) and superresolution upscale methods (e.g. Waifu2x and AI based Super-Resolution image upscale methods with custom training/test sets of images (EDSR)). Programming: including numerical modelling & optimization tasks. (e.g.: MC simulations, optimizations, some example works are under: "Completed another programming works"). Speech to text conversion with AI based models. 減らす
tamas421
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Professional Overview and Goals I work at the University of Pécs in Hungary, and I've published several research papers over the years. Now, I'm looking to expand my skills and take on new projects. I want to gain more experience and earn some extra money along the way. Skills in Data Wrangling and Cleaning Before...Professional Overview and Goals I work at the University of Pécs in Hungary, and I've published several research papers over the years. Now, I'm looking to expand my skills and take on new projects. I want to gain more experience and earn some extra money along the way. Skills in Data Wrangling and Cleaning Before diving into statistical analysis, it's crucial to prepare the data properly. This involves data wrangling and cleaning, which I've always done myself. These steps include (after a dialogue with the partners): Collecting Data - is only possible when raw material is provided. Cleaning Data: Fixing errors, handling missing values, and making sure the data is consistent. Transforming Data: Changing data into the right formats for analysis. Integrating Data: Combining data from different sources while keeping it accurate. These tasks ensure the data is reliable and ready for analysis. Descriptive Analysis and Hypothesis Testing Descriptive analysis helps us understand the basic features of the data, such as averages and trends. I do this by: - Calculating Descriptive Statistics: Mean, Median, Standard deviation, Interquartile range etc. Visualizing Data: Creating graphs and charts to show data patterns. Hypothesis testing helps us make decisions based on data. I've learned this from top biostatisticians in Hungary. This involves: - Setting Hypotheses: Defining what we want to test. - Conducting Tests: Using statistical tests like t-tests or chi-square tests to check hypotheses. Interpreting Results: Understanding p-values to see if results are significant. Using Statistical Software I am skilled in using popular statistical software, which makes my work faster and more accurate. These tools include: - SPSS: Useful for data manipulation and detailed reporting. - R (R Core Team): Great for its extensive packages and data visualization, as well as article-ready plots, graphs, tables. In my research papers, I always explain the methods and software used. You can see these details on my ResearchGate profile (Sandor Pal, University of Pécs). Working Efficiently with Data One of my strengths is working quickly without sacrificing quality. This is important for meeting deadlines. My process involves: - Fast Data Wrangling and Cleaning - Quick Descriptive Analysis: - Rapid Hypothesis Testing: - Understanding Correlations With a strong background in statistical analysis and published research, I'm now looking for new projects. I want to use my skills in data wrangling, cleaning, descriptive analysis, hypothesis testing, and finding correlations in different areas. My goal is to gain more experience, work on diverse projects, and earn extra money. Working at the University of Pécs has given me solid skills in statistical analysis, including preparing and cleaning data. I'm proficient in SPSS and R, and I can perform detailed descriptive analyses and robust hypothesis testing. 減らす
sandordrpal
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